Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures of the various exchanges and asset classes. Pre market - checking that all required data and processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++, and R). Strong communication skills and ability to work well with colleagues across multiple regions. Ability to perform well under pressure. Detail orientated
May 03, 2024
Full time
Role: Using the firms automated trading framework to research and apply strategies Using progressive statistical approaches to analyse data and ascertain opportunities for trading To build upon and develop strong understanding of market structures of the various exchanges and asset classes. Pre market - checking that all required data and processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++, and R). Strong communication skills and ability to work well with colleagues across multiple regions. Ability to perform well under pressure. Detail orientated
Job title: Linux System Engineer Salary: Up to GBP $90,000 + Bonus Client: World-leading, award-winning Quant Fund Location: London, Sydney, Dubai, Shanghai Experience level: 1-7 years Benefits: Great salary package, exceptional bonuses, and industry-leading benefits An elite-level, award-winning Quant Fund in Dubai is looking for a talented and passionate System Specialist to join their team (London/Sydney/Dubai/Shanghai) and play a critical role in managing and supporting the company's global trading platform. The company is looking for someone who is passionate about what they do and has the desire to continuously develop and grow career-wise. Joining this company would immediately make you one of the most desired System Engineers. Desired Skills/Experience Exp in a Linux/Unix environment Experience in operations, systems, and engineering tasks Expertise in containerization technologies within Linux environments Proficient in scripting and programming (Python, Go, Bash) Experienced in managing tools and protocols including Gitlab, Kafka etc Capable of building and deploying using GitOps workflows Skilled in container technologies such as Kubernetes and Docker/Podman Created and enhanced CI/CD pipelines and automation experience Why work there? Opportunity to work with some of the latest, most sophisticated technology in the world Dynamic environment - new and exciting challenges every day, and no two days will be the same Very friendly and collaborative environment Heavy emphasis on investing in your personal development Excellent salary with outstanding bonuses (which are guaranteed) The client is happy to wait for notice periods and bonuses to be paid. Also, a full job spec is available. Preferred; Hedgefund/Quant/Finance/Front office knowledge If interested, then please apply with your updated CV ASAP.
May 02, 2024
Full time
Job title: Linux System Engineer Salary: Up to GBP $90,000 + Bonus Client: World-leading, award-winning Quant Fund Location: London, Sydney, Dubai, Shanghai Experience level: 1-7 years Benefits: Great salary package, exceptional bonuses, and industry-leading benefits An elite-level, award-winning Quant Fund in Dubai is looking for a talented and passionate System Specialist to join their team (London/Sydney/Dubai/Shanghai) and play a critical role in managing and supporting the company's global trading platform. The company is looking for someone who is passionate about what they do and has the desire to continuously develop and grow career-wise. Joining this company would immediately make you one of the most desired System Engineers. Desired Skills/Experience Exp in a Linux/Unix environment Experience in operations, systems, and engineering tasks Expertise in containerization technologies within Linux environments Proficient in scripting and programming (Python, Go, Bash) Experienced in managing tools and protocols including Gitlab, Kafka etc Capable of building and deploying using GitOps workflows Skilled in container technologies such as Kubernetes and Docker/Podman Created and enhanced CI/CD pipelines and automation experience Why work there? Opportunity to work with some of the latest, most sophisticated technology in the world Dynamic environment - new and exciting challenges every day, and no two days will be the same Very friendly and collaborative environment Heavy emphasis on investing in your personal development Excellent salary with outstanding bonuses (which are guaranteed) The client is happy to wait for notice periods and bonuses to be paid. Also, a full job spec is available. Preferred; Hedgefund/Quant/Finance/Front office knowledge If interested, then please apply with your updated CV ASAP.
We are one of the world's leading economic consulting firms. We strive to recruit and develop talented people to work together to produce meaningful economic analysis of exceptional quality, and to create a positive impact on our clients and society. Our EMEA Energy team is spread over several European offices and has over 20 team members specialising in the economics of the energy sector including electricity, gas, emissions trading and renewables. We are mainly active in Europe and the Middle East, and have worked on projects in more than 25 countries in the last year. Our extensive expertise in the European energy market ranges from market design & regulatory issues, strategy development and market modelling to comprehensive expert work in civil and antitrust / competition proceedings. We are involved in a broad spectrum of matters to include development of renewable energy, climate change, liberalization of the power and gas industries, investment decisions and due diligence, storage, electric vehicles and smart grids. Due to expansion of our Energy practice, we are currently looking for a Senior Consultant with a number of years of professional experience in energy consulting. You will work on both quantitative modelling and regulatory issues through projects all over Europe.You can be located in any of our European offices (i.e. Paris, London, Berlin, Düsseldorf, Brussels, Madrid and Helsinki) and will regularly work with colleagues in other offices. Typical duties will include: Economic analysis of energy regulation and markets, and of their impacts on our clients Quantitative analysis in Excel inter alia using our energy-specific models and using our energy system modelling platforms Oversee the day-to-day running of the project and client contact on all matters Active participation in client meetings and conference calls Monitoring project progress Extensive mentoring and supervising of junior staff Experience and Skills Required: 4 to 8 years of relevant professional experience in the energy sector,in particular inconsulting Master's degree in Economics, Engineering, Finance or Statistics Fluency in French and English languages (both spoken and written) Other European languages are desirable Advanced Excel, PowerPoint and Word skills Working knowledge of statistical packages (R, Stata) or programming languages (VBA, Python, etc.) is a bonus Commitment to high-quality and accurate work Experience of managing and training junior team members. Strong solution orientation and analytical skills Good organisational skills and ability to prioritize Ability to communicate effectively with colleagues and clients Ability to work effectively in a collaborative environment Benefits of your career at Compass Lexecon: A competitive salary with additional benefits A variety of interesting and challenging projects Client interaction and responsibility from day one Excellent development opportunities An international team from a variety of backgrounds and experiences A steep learning curve, in a supportive and collaborative team Comprehensive training programs Compass Lexecon is an Equal Opportunity Employer. We appreciate that recruitment agencies may have speculative CVs that they wish to submit to Compass Lexecon. To avoid any ambiguity around fees, please note that speculative CVs received by Compass Lexecon, that have not been authorised in advance by the Recruitment team, will be ineligible for an agency fee.
May 02, 2024
Full time
We are one of the world's leading economic consulting firms. We strive to recruit and develop talented people to work together to produce meaningful economic analysis of exceptional quality, and to create a positive impact on our clients and society. Our EMEA Energy team is spread over several European offices and has over 20 team members specialising in the economics of the energy sector including electricity, gas, emissions trading and renewables. We are mainly active in Europe and the Middle East, and have worked on projects in more than 25 countries in the last year. Our extensive expertise in the European energy market ranges from market design & regulatory issues, strategy development and market modelling to comprehensive expert work in civil and antitrust / competition proceedings. We are involved in a broad spectrum of matters to include development of renewable energy, climate change, liberalization of the power and gas industries, investment decisions and due diligence, storage, electric vehicles and smart grids. Due to expansion of our Energy practice, we are currently looking for a Senior Consultant with a number of years of professional experience in energy consulting. You will work on both quantitative modelling and regulatory issues through projects all over Europe.You can be located in any of our European offices (i.e. Paris, London, Berlin, Düsseldorf, Brussels, Madrid and Helsinki) and will regularly work with colleagues in other offices. Typical duties will include: Economic analysis of energy regulation and markets, and of their impacts on our clients Quantitative analysis in Excel inter alia using our energy-specific models and using our energy system modelling platforms Oversee the day-to-day running of the project and client contact on all matters Active participation in client meetings and conference calls Monitoring project progress Extensive mentoring and supervising of junior staff Experience and Skills Required: 4 to 8 years of relevant professional experience in the energy sector,in particular inconsulting Master's degree in Economics, Engineering, Finance or Statistics Fluency in French and English languages (both spoken and written) Other European languages are desirable Advanced Excel, PowerPoint and Word skills Working knowledge of statistical packages (R, Stata) or programming languages (VBA, Python, etc.) is a bonus Commitment to high-quality and accurate work Experience of managing and training junior team members. Strong solution orientation and analytical skills Good organisational skills and ability to prioritize Ability to communicate effectively with colleagues and clients Ability to work effectively in a collaborative environment Benefits of your career at Compass Lexecon: A competitive salary with additional benefits A variety of interesting and challenging projects Client interaction and responsibility from day one Excellent development opportunities An international team from a variety of backgrounds and experiences A steep learning curve, in a supportive and collaborative team Comprehensive training programs Compass Lexecon is an Equal Opportunity Employer. We appreciate that recruitment agencies may have speculative CVs that they wish to submit to Compass Lexecon. To avoid any ambiguity around fees, please note that speculative CVs received by Compass Lexecon, that have not been authorised in advance by the Recruitment team, will be ineligible for an agency fee.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 01, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
I'm working with a leading New York based Multi-Strategy Hedge Fund which is seeking Portfolio Managers to set up new trading teams or trade their own strategies independently, in either NYC or London. This firm is well established and has a strong track record, and is looking to continue this by setting up systematic teams where Quant Researchers/Traders and PMs will earn a % payout of their PnL. In this role, you will be responsible for the full research and trading pipeline of your own systematic strategies, covering intraday or mid frequency time horizons (Minutes-a week), across global equities/futures markets. In addition to managing your own strategies, you will be able to build a team and utilise the expertise of the top C++/Python Developers at the firm. The Role: Research, development and trading of intraday or mid frequency cash equities or futures strategies. Developing and optimising infrastructure and tools on an ad hoc basis. Hiring and leading junior members of the team and leveraging the support of the CIO to improve performance and deal with challenges. Requirements: At least 5 years of experience in front office quant research in equities/ futures markets. Proficiency in Python is required, C++ experience is desired, skills in R, Matlab, and SQL are also a plus. A Bachelor's and Master's degree from a top University, PhDs are preferred but not required.
May 01, 2024
Full time
I'm working with a leading New York based Multi-Strategy Hedge Fund which is seeking Portfolio Managers to set up new trading teams or trade their own strategies independently, in either NYC or London. This firm is well established and has a strong track record, and is looking to continue this by setting up systematic teams where Quant Researchers/Traders and PMs will earn a % payout of their PnL. In this role, you will be responsible for the full research and trading pipeline of your own systematic strategies, covering intraday or mid frequency time horizons (Minutes-a week), across global equities/futures markets. In addition to managing your own strategies, you will be able to build a team and utilise the expertise of the top C++/Python Developers at the firm. The Role: Research, development and trading of intraday or mid frequency cash equities or futures strategies. Developing and optimising infrastructure and tools on an ad hoc basis. Hiring and leading junior members of the team and leveraging the support of the CIO to improve performance and deal with challenges. Requirements: At least 5 years of experience in front office quant research in equities/ futures markets. Proficiency in Python is required, C++ experience is desired, skills in R, Matlab, and SQL are also a plus. A Bachelor's and Master's degree from a top University, PhDs are preferred but not required.
My client - one of the industry's leading global investment managers - is looking to hire a Quantitative Developer to join the Algo Development Trading Technology team as they build a new Volatility Trading system. They're developing a systematic trading platform for trading options which includes: Option execution algorithms to optimize execution for Portfolio Managers globally Analytics to support post-trade analysis and TCA As a Quantitative Developer, you'll play a vital role in designing, implementing, and maintaining options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge. Responsibilities: Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code. Develop, optimize, and maintain software applications for options trading, primarily using C++ (ideally version 17 or better). Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution. Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance. Conduct thorough testing and debugging of software components, resolving any issues or discrepancies. Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or a related field. 10+ years of work experience, of which at least 5 is in building automated options trading systems. Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial. Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued. Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics. Candidates should possess a solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc. Good understanding of different option markets and market mechanisms of options market microstructure. Good knowledge of option auction and expiration process and the market impact. Good knowledge of products traded by volatility traders, e.g.: Equity Options Index Options Spreads on Equity and Index options (Complex Options) Variance Swap (Var Swap) Volatility Swap (Vol Swap) Strong knowledge of options trading business, including concepts, strategies, and risk management. Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming. Proficiency in software development methodologies, version control systems, and debugging tools. Experience with C++ testing framework such as google fixtures and code coverage tools as gcov. Familiarity with distributed systems, high-performance computing, and algorithm optimization. Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Self-motivated, detail-oriented, and able to work independently in a fast-paced environment. Preferred Qualifications: Previous experience in options trading or algorithmic trading systems development. Proficiency in other programming languages such as Python. Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing. Experience with building analytics tool using KDB. Knowledge of quantitative finance, statistical analysis, and regression. Familiarity with options trading markets. If you are passionate about options trading, possess strong C++ skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Come and be part of a dynamic team dedicated to pushing the boundaries of finance and technology. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
My client - one of the industry's leading global investment managers - is looking to hire a Quantitative Developer to join the Algo Development Trading Technology team as they build a new Volatility Trading system. They're developing a systematic trading platform for trading options which includes: Option execution algorithms to optimize execution for Portfolio Managers globally Analytics to support post-trade analysis and TCA As a Quantitative Developer, you'll play a vital role in designing, implementing, and maintaining options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge. Responsibilities: Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code. Develop, optimize, and maintain software applications for options trading, primarily using C++ (ideally version 17 or better). Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution. Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance. Conduct thorough testing and debugging of software components, resolving any issues or discrepancies. Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or a related field. 10+ years of work experience, of which at least 5 is in building automated options trading systems. Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial. Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued. Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics. Candidates should possess a solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc. Good understanding of different option markets and market mechanisms of options market microstructure. Good knowledge of option auction and expiration process and the market impact. Good knowledge of products traded by volatility traders, e.g.: Equity Options Index Options Spreads on Equity and Index options (Complex Options) Variance Swap (Var Swap) Volatility Swap (Vol Swap) Strong knowledge of options trading business, including concepts, strategies, and risk management. Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming. Proficiency in software development methodologies, version control systems, and debugging tools. Experience with C++ testing framework such as google fixtures and code coverage tools as gcov. Familiarity with distributed systems, high-performance computing, and algorithm optimization. Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Self-motivated, detail-oriented, and able to work independently in a fast-paced environment. Preferred Qualifications: Previous experience in options trading or algorithmic trading systems development. Proficiency in other programming languages such as Python. Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing. Experience with building analytics tool using KDB. Knowledge of quantitative finance, statistical analysis, and regression. Familiarity with options trading markets. If you are passionate about options trading, possess strong C++ skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Come and be part of a dynamic team dedicated to pushing the boundaries of finance and technology. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 01, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
May 01, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Associate Director of Statistics - Top 5 Global Pharma - Greater London Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. We are looking for an Associate Director in Statistics for a pharmaceutical company to be based in the UK. In this role you will provide lead support for the design, execution, analysis, interpretation, and reporting or communication of data evidence specialising in Oncology. This is an exciting and challenging role for a candidate with a strong interest in, and a deep understanding of the fundamentals of statistical methods and approaches and to build on these skills to explore and discover new ways to contribute with innovative statistical approaches in a challenging business context in the support of Oncology research. Responsibilities: The Statistics Associate Director: Experience in assisting with the heavy lifting, filing and documentation, for example, the execution from a given design onwards, statistics methods and documentation and all that follows Effectively Partnering with project teams (including medical and commercial leads, statistical programming, data management, medical writing, RWE, HTA, Biomarkers, Pharmacometrics, Bioinformatics) identifying appropriate clinical trial designs by proposing quantitative decision rules suitable to informing key study endpoints and their operational characteristics, by implementing flawless data analysis and reporting internally and for relevant publications. Demonstrates strong technical, analytical and interpersonal skills in project teams, internal forums and external meetings to establish and maintain methodologies constructively influencing decision making and clinical development strategy. Has an established track record of problem-solving and troubleshooting including significant regulatory and decision-making support at a program level. Demonstrates sophisticated data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful support of multiple programs. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies sophisticated statistical methodology in assigned projects, such as clinical trials, with demonstrated coordinated disease/scientific/functional area understanding and health authority acceptability. Do you have the experience, skills and education we are looking for? PhD. in Statistics or related field or MSc in Statistics with track record of relevant problem-solving demonstrating advanced data analytic expertise based on a solid foundation of statistical principles and an ability to positively influence and support decision-making at program level and in regulatory interactions through effective communication. Proficient use of relevant computational tools for study, experiment, or trial research objectives (e.g. SAS, R, Python or similar) in individual workstations and in validated computer systems. Demonstrates knowledge of pharmaceutical research and development appropriate for providing leadership and support to experimental design, modelling, analysis planning, analysis execution, interpretation and statistical communication ideally in Oncology. Is a leader in the optimization of study designs through scenario simulations and sample size calculations based on relevant assumptions in line with study or indication level objectives. Understands and aligns choice of methods with relevant regulatory guidance. Has a track record for proposing, implementing, evaluating and successfully communicating complex innovative statistical ideas and methods leading to improved business practices. Follows organization and company standard operating procedures as appropriate, including training and project time accounting and standard methodologies ensuring data integrity. Takes responsibility for and welcomes constructive feedback on the quality and timeliness of the assigned project deliverables, as assessed by partners such as the project team, the clinical trial team, and the Statistics Area Head. Serves as a role model to statisticians and other scientists as appropriate. Shares knowledge within and across functions to ensure integrated delivery across all phases of drug development. Supervises contractors or staff as required on a project basis. Mentors junior colleagues in techniques, processes, and responsibilities. Provides input into hiring decisions and ongoing evaluation of talent. Actively pursues robust cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations, consultants, researchers, investigators) to achieve results for project specific needs with focus on effective communication, efficiency, and productivity. Works cross-functionally to identify and problem solve when appropriate. What do you get in return? Working in a friendly group in exciting projects Excellent opportunities to develop and grow Home working flexibility Industry leading salary, annual bonus, and Long-Term Incentive Plan Extremely competitive benefits package What to do next : If this opportunity is of interest, please apply now with your CV as the organisation are looking to welcome the new Statistician onboard as soon as possible. Not what you're looking for? Please contact Aimee Weston at to arrange a confidential discussion about potential opportunities.
Sep 23, 2022
Full time
Associate Director of Statistics - Top 5 Global Pharma - Greater London Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. We are looking for an Associate Director in Statistics for a pharmaceutical company to be based in the UK. In this role you will provide lead support for the design, execution, analysis, interpretation, and reporting or communication of data evidence specialising in Oncology. This is an exciting and challenging role for a candidate with a strong interest in, and a deep understanding of the fundamentals of statistical methods and approaches and to build on these skills to explore and discover new ways to contribute with innovative statistical approaches in a challenging business context in the support of Oncology research. Responsibilities: The Statistics Associate Director: Experience in assisting with the heavy lifting, filing and documentation, for example, the execution from a given design onwards, statistics methods and documentation and all that follows Effectively Partnering with project teams (including medical and commercial leads, statistical programming, data management, medical writing, RWE, HTA, Biomarkers, Pharmacometrics, Bioinformatics) identifying appropriate clinical trial designs by proposing quantitative decision rules suitable to informing key study endpoints and their operational characteristics, by implementing flawless data analysis and reporting internally and for relevant publications. Demonstrates strong technical, analytical and interpersonal skills in project teams, internal forums and external meetings to establish and maintain methodologies constructively influencing decision making and clinical development strategy. Has an established track record of problem-solving and troubleshooting including significant regulatory and decision-making support at a program level. Demonstrates sophisticated data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful support of multiple programs. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies sophisticated statistical methodology in assigned projects, such as clinical trials, with demonstrated coordinated disease/scientific/functional area understanding and health authority acceptability. Do you have the experience, skills and education we are looking for? PhD. in Statistics or related field or MSc in Statistics with track record of relevant problem-solving demonstrating advanced data analytic expertise based on a solid foundation of statistical principles and an ability to positively influence and support decision-making at program level and in regulatory interactions through effective communication. Proficient use of relevant computational tools for study, experiment, or trial research objectives (e.g. SAS, R, Python or similar) in individual workstations and in validated computer systems. Demonstrates knowledge of pharmaceutical research and development appropriate for providing leadership and support to experimental design, modelling, analysis planning, analysis execution, interpretation and statistical communication ideally in Oncology. Is a leader in the optimization of study designs through scenario simulations and sample size calculations based on relevant assumptions in line with study or indication level objectives. Understands and aligns choice of methods with relevant regulatory guidance. Has a track record for proposing, implementing, evaluating and successfully communicating complex innovative statistical ideas and methods leading to improved business practices. Follows organization and company standard operating procedures as appropriate, including training and project time accounting and standard methodologies ensuring data integrity. Takes responsibility for and welcomes constructive feedback on the quality and timeliness of the assigned project deliverables, as assessed by partners such as the project team, the clinical trial team, and the Statistics Area Head. Serves as a role model to statisticians and other scientists as appropriate. Shares knowledge within and across functions to ensure integrated delivery across all phases of drug development. Supervises contractors or staff as required on a project basis. Mentors junior colleagues in techniques, processes, and responsibilities. Provides input into hiring decisions and ongoing evaluation of talent. Actively pursues robust cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations, consultants, researchers, investigators) to achieve results for project specific needs with focus on effective communication, efficiency, and productivity. Works cross-functionally to identify and problem solve when appropriate. What do you get in return? Working in a friendly group in exciting projects Excellent opportunities to develop and grow Home working flexibility Industry leading salary, annual bonus, and Long-Term Incentive Plan Extremely competitive benefits package What to do next : If this opportunity is of interest, please apply now with your CV as the organisation are looking to welcome the new Statistician onboard as soon as possible. Not what you're looking for? Please contact Aimee Weston at to arrange a confidential discussion about potential opportunities.
Junior Data Scientist Stonehouse, UK Summary: The team is seeking Data Scientist who is responsible for conducting machine learning techniques and tackle industrial data questions. Drawing on an advanced degree in a quantitative field such as computer science, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to apply algorithms to solve data problems. Responsibilities: Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Collaborate with field and engineers to identify and extract key business values from data. Apply engineering knowledge in developing data-driven algorithms for regression, classification, anomaly detection, failure prediction and optimization. Generate innovative ideas, perform machine learning techniques, and execute on engineering projects. Apply machine learning knowledge to solve industrial problems. Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines. Communicate ideas and results effectively via oral and written reports. Qualifications: Currently has or is in the process of obtaining a Bachelor's or Master's in Computer Science, or Data Science. Alternatively Bachelors or Masters in any STEM Disciplines with 1 to 3 years data science experience. Competencies: Highly proficient in Python programming Highly proficient in applying machine learning techniques Highly experienced with cloud computing (Google Cloud, Microsoft azure) Knowledge of analytics tools (Dashboard, PowerBI) Good oral and written communication skills Due to the high volume of applications we receive we are not able to get back to everyone who applies. Therefore, if you have not heard back from Jefferson Wells within 7 days please assume that your application has been unsuccessful however we will contact you if suitable roles come up that match your skill set.
Dec 09, 2021
Full time
Junior Data Scientist Stonehouse, UK Summary: The team is seeking Data Scientist who is responsible for conducting machine learning techniques and tackle industrial data questions. Drawing on an advanced degree in a quantitative field such as computer science, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to apply algorithms to solve data problems. Responsibilities: Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Collaborate with field and engineers to identify and extract key business values from data. Apply engineering knowledge in developing data-driven algorithms for regression, classification, anomaly detection, failure prediction and optimization. Generate innovative ideas, perform machine learning techniques, and execute on engineering projects. Apply machine learning knowledge to solve industrial problems. Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines. Communicate ideas and results effectively via oral and written reports. Qualifications: Currently has or is in the process of obtaining a Bachelor's or Master's in Computer Science, or Data Science. Alternatively Bachelors or Masters in any STEM Disciplines with 1 to 3 years data science experience. Competencies: Highly proficient in Python programming Highly proficient in applying machine learning techniques Highly experienced with cloud computing (Google Cloud, Microsoft azure) Knowledge of analytics tools (Dashboard, PowerBI) Good oral and written communication skills Due to the high volume of applications we receive we are not able to get back to everyone who applies. Therefore, if you have not heard back from Jefferson Wells within 7 days please assume that your application has been unsuccessful however we will contact you if suitable roles come up that match your skill set.
Summary causaLens are the pioneers of Causal AI - a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. As we continue to expand our business, we are looking for a motivated and high-achieving Data Scientist - Applied Science based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world. The ideal candidate will have relevant academic or professional experience, but above all will be keen to learn the breadth of skills required to work in a small startup environment. We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business. Roles and Responsibilities This is an exciting role for a smart, creative person with a strong technical background and desire to apply his/her skills in a stimulating scientific environment. Your work will include: Prototyping applied research that goes into the product. Helping clients from a wide variety of industries solve their problems with our platform. Explaining the state-of-the-art technology and working on proof-of-concept projects with a rapid turnaround. Shaping the future direction of the technology by suggesting and developing novel applications and new platform features. Working with a broad range of clients to help them integrate our technology into their workflow over the long term, solving technical and data science issues. Research and evaluation of novel use-cases for the causaLens technology. The Company Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer. causaLens in the News Best Deeptech Company 2019 - Artificial Intelligence Awards 'Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies' - Yahoo Finance 'The U.K.'s Most Exciting AI Startups Race To Scale' - Forbes 'AllianzGI Taps Virtual Data Scientists amid War for Talent' - Financial Times 'Machine Learning Companies to watch in Europe' - Forbes 'Best Investment in Deeptech' award - UK Business Angels Association awards '100 Most Disruptive UK Companies' - Hotwire 'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire Benefits As well as the opportunity to join a fast-growing, agile, international team that is passionate about innovation and making a difference, we have competitive remuneration and pension benefits plus: Opportunities for continued learning and self-development, including courses, conferences and book budget Weekly journal club and knowledge sharing presentations Active social calendar including regular team outings, pizza Thursdays and annual company retreats Encouragement of a great work/life balance that includes flexible work-from-home and remote days Cycle to work scheme Fruits, snacks and soft drinks in the office 32 days paid holiday allowance (incl. bank holidays) Equipment you need to get the job done (MacBook Pro etc.) Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm! Logistics Our interview process consists of an online coding challenge, 3 Technical interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online. We will do our best to transparently communicate the process with successful candidates. This role is open for candidates of all seniorities, junior to senior. Strong academic record (MEng, MSci, EngD or PhD). Ability to discover the business potential of novel technologies Advanced quantitative skills in machine learning/statistics/mathematics or similar fields Ability to apply complex technologies in novel high-value use-cases An excellent written and verbal communicator with a high level of business acumen Highly capable, self-motivated, collaborative and personable High integrity and drive Naturally curious and effective problem solver Ability to effectively work independently in a fast-moving environment Strong coding skills (we use Python)
Dec 06, 2021
Full time
Summary causaLens are the pioneers of Causal AI - a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. As we continue to expand our business, we are looking for a motivated and high-achieving Data Scientist - Applied Science based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world. The ideal candidate will have relevant academic or professional experience, but above all will be keen to learn the breadth of skills required to work in a small startup environment. We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business. Roles and Responsibilities This is an exciting role for a smart, creative person with a strong technical background and desire to apply his/her skills in a stimulating scientific environment. Your work will include: Prototyping applied research that goes into the product. Helping clients from a wide variety of industries solve their problems with our platform. Explaining the state-of-the-art technology and working on proof-of-concept projects with a rapid turnaround. Shaping the future direction of the technology by suggesting and developing novel applications and new platform features. Working with a broad range of clients to help them integrate our technology into their workflow over the long term, solving technical and data science issues. Research and evaluation of novel use-cases for the causaLens technology. The Company Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others. We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer. causaLens in the News Best Deeptech Company 2019 - Artificial Intelligence Awards 'Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies' - Yahoo Finance 'The U.K.'s Most Exciting AI Startups Race To Scale' - Forbes 'AllianzGI Taps Virtual Data Scientists amid War for Talent' - Financial Times 'Machine Learning Companies to watch in Europe' - Forbes 'Best Investment in Deeptech' award - UK Business Angels Association awards '100 Most Disruptive UK Companies' - Hotwire 'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire Benefits As well as the opportunity to join a fast-growing, agile, international team that is passionate about innovation and making a difference, we have competitive remuneration and pension benefits plus: Opportunities for continued learning and self-development, including courses, conferences and book budget Weekly journal club and knowledge sharing presentations Active social calendar including regular team outings, pizza Thursdays and annual company retreats Encouragement of a great work/life balance that includes flexible work-from-home and remote days Cycle to work scheme Fruits, snacks and soft drinks in the office 32 days paid holiday allowance (incl. bank holidays) Equipment you need to get the job done (MacBook Pro etc.) Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm! Logistics Our interview process consists of an online coding challenge, 3 Technical interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online. We will do our best to transparently communicate the process with successful candidates. This role is open for candidates of all seniorities, junior to senior. Strong academic record (MEng, MSci, EngD or PhD). Ability to discover the business potential of novel technologies Advanced quantitative skills in machine learning/statistics/mathematics or similar fields Ability to apply complex technologies in novel high-value use-cases An excellent written and verbal communicator with a high level of business acumen Highly capable, self-motivated, collaborative and personable High integrity and drive Naturally curious and effective problem solver Ability to effectively work independently in a fast-moving environment Strong coding skills (we use Python)
Ricardo Energy & Environment
Manchester, Lancashire
Junior Economist Locations: London, Manchester, Harwell ( Didcot) Salary: 25-28,000 + benefits including 25 days holiday. Our people are important to us and we take pride in our wellbeing programmes and policies that support individuals including flexible working, career development, carers policy, mental health first aiders and readily available support through our extensive Employee Assistance programme. Ricardo Energy & Environment is a leading sustainability consultancy combining energy, climate change, environmental and chemical risk expertise with strong IT and economics capability. Operating across the world, we work in partnership with our customers to help transform the way they work, empowering business leaders with award winning consultancy advice. With unrivalled sector insight and a reputation for producing innovative solutions, we offer a stimulating and rewarding environment in which to work. Ricardo Energy & Environment's Sustainable Transport Team delivers analysis to clients on the major environmental, social and economic challenges facing the transport sector. We provide support to governments to design and evaluate policy actions for sustainable transport, including measures to improve fuel efficiency, reduce pollution, and improve urban mobility. We also support private sector organisations to transition to zero emission vehicles, and alternative fuels, in a sustainable, and cost-effective manner. We are seeking an intelligent graduate to join our Sustainable Transport team as an Analyst Consultant / Junior Economist. From day one, you'll be part of a team supporting our consultants (economists, engineers, scientists) in delivering high-profile projects. Our work is focused on strategic policy advice on a range of transport sector issues for clients such as national transport ministries, the European Commission, Local Government and Transport authorities, and a range of private sector organisations, such as vehicle manufacturers, energy companies and airports. The successful applicant will have excellent numeracy and analytical skills, strong writing skills, a proactive approach and a commitment to producing high quality work. We expect the candidate to have an interest in the transport area and to enjoy creative problem-solving. Projects will cover a broad range of topics that assess the impact of policies and/or technologies on the transport system, the economy, the environment and society. Helping to develop models and calculations that will help to quantify the impacts of existing and future transport technologies, fuels and policy measures is an important part of the role. Key accountabilities: As an analyst, you will carry out research and analysis that underpins our consultancy work. You will manage your time across several projects, contributing to research, data analysis, stakeholder engagement and report-writing. You will work as part of a global team of policy experts working alongside engineers, technology experts and economists. Key competencies and experience: We welcome applications from recent graduates but preference will be given to those with relevant work experience in environmental or strategic consultancy, Government or academic research/think tanks. Essential: * Bachelors (2.1 or above) or Masters in a numerate subject, such as economics, engineering, mathematics, physical sciences, computer science or related fields. * Strong computer literacy - especially in MS Excel and Word. Knowledge of Python is highly desirable. * Be able to work independently and demonstrate initiative, as well as operate effectively as part of a global team. * A strong interest in transport policy and sustainabilityl. * Fluency in English is essential, Spanish and other languages highly desirable. Desirable: * An understanding of European and/or international environmental policy issues, gained during studies or work experience. Experience with developing models or complex calculations to represent different scenarios. * Experience in a consultancy or in a customer facing commercial setting. * Tools and methods: survey design and execution, market analysis, cost-benefit analysis; data-collection, validation, and analysis; stakeholder consultation. * Fluency in other European languages. * Working here: This is an exciting and rewarding place to work, with the opportunity to make a difference. You will have a fantastic opportunity to develop your career with us through our broad range of projects, mentoring opportunities and a personalised approach to your learning and development. We are always keen to hear from people who have drive, ambition and a flair for innovative thinking. Ricardo Energy & Environment has an ambitious diversity, equality and inclusive approach as explained here. Our People are important to us and we take pride in our wellbeing programmes and policies that support individuals including flexible working, carers policy, mental health first aiders and readily available support through our extensive Employee Assistance programme. Once you have submitted your application a member of our Recruitment Team will be in touch. Please be aware that the timing can vary dependent on the volume of applications that we receive for each role and in some cases, we may start to review applications prior to the closing date.
Dec 04, 2021
Full time
Junior Economist Locations: London, Manchester, Harwell ( Didcot) Salary: 25-28,000 + benefits including 25 days holiday. Our people are important to us and we take pride in our wellbeing programmes and policies that support individuals including flexible working, career development, carers policy, mental health first aiders and readily available support through our extensive Employee Assistance programme. Ricardo Energy & Environment is a leading sustainability consultancy combining energy, climate change, environmental and chemical risk expertise with strong IT and economics capability. Operating across the world, we work in partnership with our customers to help transform the way they work, empowering business leaders with award winning consultancy advice. With unrivalled sector insight and a reputation for producing innovative solutions, we offer a stimulating and rewarding environment in which to work. Ricardo Energy & Environment's Sustainable Transport Team delivers analysis to clients on the major environmental, social and economic challenges facing the transport sector. We provide support to governments to design and evaluate policy actions for sustainable transport, including measures to improve fuel efficiency, reduce pollution, and improve urban mobility. We also support private sector organisations to transition to zero emission vehicles, and alternative fuels, in a sustainable, and cost-effective manner. We are seeking an intelligent graduate to join our Sustainable Transport team as an Analyst Consultant / Junior Economist. From day one, you'll be part of a team supporting our consultants (economists, engineers, scientists) in delivering high-profile projects. Our work is focused on strategic policy advice on a range of transport sector issues for clients such as national transport ministries, the European Commission, Local Government and Transport authorities, and a range of private sector organisations, such as vehicle manufacturers, energy companies and airports. The successful applicant will have excellent numeracy and analytical skills, strong writing skills, a proactive approach and a commitment to producing high quality work. We expect the candidate to have an interest in the transport area and to enjoy creative problem-solving. Projects will cover a broad range of topics that assess the impact of policies and/or technologies on the transport system, the economy, the environment and society. Helping to develop models and calculations that will help to quantify the impacts of existing and future transport technologies, fuels and policy measures is an important part of the role. Key accountabilities: As an analyst, you will carry out research and analysis that underpins our consultancy work. You will manage your time across several projects, contributing to research, data analysis, stakeholder engagement and report-writing. You will work as part of a global team of policy experts working alongside engineers, technology experts and economists. Key competencies and experience: We welcome applications from recent graduates but preference will be given to those with relevant work experience in environmental or strategic consultancy, Government or academic research/think tanks. Essential: * Bachelors (2.1 or above) or Masters in a numerate subject, such as economics, engineering, mathematics, physical sciences, computer science or related fields. * Strong computer literacy - especially in MS Excel and Word. Knowledge of Python is highly desirable. * Be able to work independently and demonstrate initiative, as well as operate effectively as part of a global team. * A strong interest in transport policy and sustainabilityl. * Fluency in English is essential, Spanish and other languages highly desirable. Desirable: * An understanding of European and/or international environmental policy issues, gained during studies or work experience. Experience with developing models or complex calculations to represent different scenarios. * Experience in a consultancy or in a customer facing commercial setting. * Tools and methods: survey design and execution, market analysis, cost-benefit analysis; data-collection, validation, and analysis; stakeholder consultation. * Fluency in other European languages. * Working here: This is an exciting and rewarding place to work, with the opportunity to make a difference. You will have a fantastic opportunity to develop your career with us through our broad range of projects, mentoring opportunities and a personalised approach to your learning and development. We are always keen to hear from people who have drive, ambition and a flair for innovative thinking. Ricardo Energy & Environment has an ambitious diversity, equality and inclusive approach as explained here. Our People are important to us and we take pride in our wellbeing programmes and policies that support individuals including flexible working, carers policy, mental health first aiders and readily available support through our extensive Employee Assistance programme. Once you have submitted your application a member of our Recruitment Team will be in touch. Please be aware that the timing can vary dependent on the volume of applications that we receive for each role and in some cases, we may start to review applications prior to the closing date.
In Consulting, you will join a growing team of 300 relationship driven, strategic thinkers who take pride in the positive impact they can have on society whilst advising the boardrooms of UK and International clients across all sectors. Our Consulting teams support clients in solving business critical, complex problems through a broad range of services including risk assurance, technology advisory, business transformation, regulatory consulting and actuarial support. Our expertise ranges from financial services and insurance to retail, government and education. In a rapidly changing business world, we help clients overcome the challenges that they face today and prepare for whatever the future may hold. Our specialist Risk Assurance team provide services to across our strategic markets: Financial Services: Our team are one of the largest dedicated providers of Risk Assurance services to the financial sector, we work with many banks, insurance and asset management companies including FTSE, SEC, privately owned, as well as over 60% of the Lloyd's market. Public Services : Our team provide distinctive audit and advisory services across six sectors - local government, central government, health and social care, housing and charities. Industry & Services: Predominately private sector clients, ranging in size from large and listed multinational organisations, to small owner-managed businesses across multiple sectors throughout the UK and overseas. Job Purpose You are a Market Risk quant, with experience in model development / validation (pricing or risk models) or as a quant in valuation department. You are hands-on but keen to lead and provide guidance to teams of more junior colleagues on different market risk topics. You are client oriented and want to evolve in an international team, possibly travelling to better service clients when needed. You want to grow the brand and be the next ambassador for Mazars Quantitative Solutions within the UK and internationally. Within the quantitative finance team of the Consulting department, you will interact mainly with banks, but also with regulators, insurance companies, large corporates and services companies for a variety of quantitative services assignments. Role & Responsibilities Within the quantitative finance team you will be involved in projects as follows: The Manager would be expected to participate in the active growth of our Quant practice by contributing to multiple client engagement teams, working with a wide variety of clients to deliver professional services, and lead business development activities on key accounts. Lead small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients : Market Modelling: support banks in building Market Models or support Bank or regulators in Market Risk Models validation (Value at Risk, CCR, FRTB…). Average duration: between 2 and 6 months. Location : all over Europe; Financial instruments pricing: vanilla and complex derivatives for all asset classes (interest rates, credit, commodities, equity, and inflation); Pricing based on internal tool or external libraries. Prudential Valuation and IFRS reserves review / challenge and optimization. Accounting standards implementation review (IFRS 9 and IFRS13) on subjects of particular importance to the industry (financial instruments pricing, hedge effectiveness tests, CVA / DVA estimation, credit risk models); Technological monitoring, tools development for our internal library; Support for the implementation of Solvency II / Basel II & Basel III; Development and/or validation of ALM tools (interest rates shocks implementation, assumptions, model for non-maturity deposit, early reimbursement models) Manage project execution and delivery of client engagements, making sure the project is delivered within the agreed timeline and budget Identify likely issues that could impact delivery and leverage Mazars network support as required Contribute to Mazars' regulatory watch activities by writing articles or providing technical content. Work on management tasks (team planner, budget monitoring, recruitment) Work with senior managers / directors and the partner team to developing our product offerings around data science, credit and market modelling and marketing to external and internal clients. Prepare client proposals in order to contribute to meeting the Quant team's sales budget. Assist in the development of training, engagement procedures and methodologies. Mentor, coach and develop more junior staff. Skills, Knowledge and Experience Holds a degree specialising in mathematics applied to finance or actuarial studies Holds significant relevant and recent quantitative experience within a consulting environment Advanced knowledge in random modelling, statistics and probabilities Strong significant experience in Credit and/or Market risk Strong coding experience in C++, Python, Matlab, R or SAS Excellent project management and stakeholder management skills and experience Motivated by business development activities Ability to work in a team People management skills and experience, especially supervising and coaching team members Inclusion and Diversity At Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. Mazars selects candidates based on skills, knowledge, qualifications and experience.
Apr 07, 2021
Full time
In Consulting, you will join a growing team of 300 relationship driven, strategic thinkers who take pride in the positive impact they can have on society whilst advising the boardrooms of UK and International clients across all sectors. Our Consulting teams support clients in solving business critical, complex problems through a broad range of services including risk assurance, technology advisory, business transformation, regulatory consulting and actuarial support. Our expertise ranges from financial services and insurance to retail, government and education. In a rapidly changing business world, we help clients overcome the challenges that they face today and prepare for whatever the future may hold. Our specialist Risk Assurance team provide services to across our strategic markets: Financial Services: Our team are one of the largest dedicated providers of Risk Assurance services to the financial sector, we work with many banks, insurance and asset management companies including FTSE, SEC, privately owned, as well as over 60% of the Lloyd's market. Public Services : Our team provide distinctive audit and advisory services across six sectors - local government, central government, health and social care, housing and charities. Industry & Services: Predominately private sector clients, ranging in size from large and listed multinational organisations, to small owner-managed businesses across multiple sectors throughout the UK and overseas. Job Purpose You are a Market Risk quant, with experience in model development / validation (pricing or risk models) or as a quant in valuation department. You are hands-on but keen to lead and provide guidance to teams of more junior colleagues on different market risk topics. You are client oriented and want to evolve in an international team, possibly travelling to better service clients when needed. You want to grow the brand and be the next ambassador for Mazars Quantitative Solutions within the UK and internationally. Within the quantitative finance team of the Consulting department, you will interact mainly with banks, but also with regulators, insurance companies, large corporates and services companies for a variety of quantitative services assignments. Role & Responsibilities Within the quantitative finance team you will be involved in projects as follows: The Manager would be expected to participate in the active growth of our Quant practice by contributing to multiple client engagement teams, working with a wide variety of clients to deliver professional services, and lead business development activities on key accounts. Lead small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients : Market Modelling: support banks in building Market Models or support Bank or regulators in Market Risk Models validation (Value at Risk, CCR, FRTB…). Average duration: between 2 and 6 months. Location : all over Europe; Financial instruments pricing: vanilla and complex derivatives for all asset classes (interest rates, credit, commodities, equity, and inflation); Pricing based on internal tool or external libraries. Prudential Valuation and IFRS reserves review / challenge and optimization. Accounting standards implementation review (IFRS 9 and IFRS13) on subjects of particular importance to the industry (financial instruments pricing, hedge effectiveness tests, CVA / DVA estimation, credit risk models); Technological monitoring, tools development for our internal library; Support for the implementation of Solvency II / Basel II & Basel III; Development and/or validation of ALM tools (interest rates shocks implementation, assumptions, model for non-maturity deposit, early reimbursement models) Manage project execution and delivery of client engagements, making sure the project is delivered within the agreed timeline and budget Identify likely issues that could impact delivery and leverage Mazars network support as required Contribute to Mazars' regulatory watch activities by writing articles or providing technical content. Work on management tasks (team planner, budget monitoring, recruitment) Work with senior managers / directors and the partner team to developing our product offerings around data science, credit and market modelling and marketing to external and internal clients. Prepare client proposals in order to contribute to meeting the Quant team's sales budget. Assist in the development of training, engagement procedures and methodologies. Mentor, coach and develop more junior staff. Skills, Knowledge and Experience Holds a degree specialising in mathematics applied to finance or actuarial studies Holds significant relevant and recent quantitative experience within a consulting environment Advanced knowledge in random modelling, statistics and probabilities Strong significant experience in Credit and/or Market risk Strong coding experience in C++, Python, Matlab, R or SAS Excellent project management and stakeholder management skills and experience Motivated by business development activities Ability to work in a team People management skills and experience, especially supervising and coaching team members Inclusion and Diversity At Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. Mazars selects candidates based on skills, knowledge, qualifications and experience.
In Consulting, you will join a growing team of 300 relationship driven, strategic thinkers who take pride in the positive impact they can have on society whilst advising the boardrooms of UK and International clients across all sectors. Our Consulting teams support clients in solving business critical, complex problems through a broad range of services including risk assurance, technology advisory, business transformation, regulatory consulting and actuarial support. Our expertise ranges from financial services and insurance to retail, government and education. In a rapidly changing business world, we help clients overcome the challenges that they face today and prepare for whatever the future may hold. Our specialist Risk Assurance team provide services to across our strategic markets: Financial Services: Our team are one of the largest dedicated providers of Risk Assurance services to the financial sector, we work with many banks, insurance and asset management companies including FTSE, SEC, privately owned, as well as over 60% of the Lloyd's market. Public Services : Our team provide distinctive audit and advisory services across six sectors - local government, central government, health and social care, housing and charities. Industry & Services: Predominately private sector clients, ranging in size from large and listed multinational organisations, to small owner-managed businesses across multiple sectors throughout the UK and overseas. Job Purpose You are a Market Risk quant, with experience in model development / validation (pricing or risk models) or as a quant in valuation department. You are hands-on but keen to lead and provide guidance to teams of more junior colleagues on different market risk topics. You are client oriented and want to evolve in an international team, possibly travelling to better service clients when needed. You want to grow the brand and be the next ambassador for Mazars Quantitative Solutions within the UK and internationally. Within the quantitative finance team of the Consulting department, you will interact mainly with banks, but also with regulators, insurance companies, large corporates and services companies for a variety of quantitative services assignments. Role & Responsibilities Within the quantitative finance team you will be involved in projects as follows: The Manager would be expected to participate in the active growth of our Quant practice by contributing to multiple client engagement teams, working with a wide variety of clients to deliver professional services, and lead business development activities on key accounts. Lead small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients : Market Modelling: support banks in building Market Models or support Bank or regulators in Market Risk Models validation (Value at Risk, CCR, FRTB…). Average duration: between 2 and 6 months. Location : all over Europe; Financial instruments pricing: vanilla and complex derivatives for all asset classes (interest rates, credit, commodities, equity, and inflation); Pricing based on internal tool or external libraries. Prudential Valuation and IFRS reserves review / challenge and optimization. Accounting standards implementation review (IFRS 9 and IFRS13) on subjects of particular importance to the industry (financial instruments pricing, hedge effectiveness tests, CVA / DVA estimation, credit risk models); Technological monitoring, tools development for our internal library; Support for the implementation of Solvency II / Basel II & Basel III; Development and/or validation of ALM tools (interest rates shocks implementation, assumptions, model for non-maturity deposit, early reimbursement models) Manage project execution and delivery of client engagements, making sure the project is delivered within the agreed timeline and budget Identify likely issues that could impact delivery and leverage Mazars network support as required Contribute to Mazars' regulatory watch activities by writing articles or providing technical content. Work on management tasks (team planner, budget monitoring, recruitment) Work with senior managers / directors and the partner team to developing our product offerings around data science, credit and market modelling and marketing to external and internal clients. Prepare client proposals in order to contribute to meeting the Quant team's sales budget. Assist in the development of training, engagement procedures and methodologies. Mentor, coach and develop more junior staff. Skills, Knowledge and Experience Holds a degree specialising in mathematics applied to finance or actuarial studies Holds significant relevant and recent quantitative experience within a consulting environment Advanced knowledge in random modelling, statistics and probabilities Strong significant experience in Credit and/or Market risk Strong coding experience in C++, Python, Matlab, R or SAS Excellent project management and stakeholder management skills and experience Motivated by business development activities Ability to work in a team People management skills and experience, especially supervising and coaching team members Inclusion and Diversity At Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. Mazars selects candidates based on skills, knowledge, qualifications and experience.
Mar 31, 2021
Full time
In Consulting, you will join a growing team of 300 relationship driven, strategic thinkers who take pride in the positive impact they can have on society whilst advising the boardrooms of UK and International clients across all sectors. Our Consulting teams support clients in solving business critical, complex problems through a broad range of services including risk assurance, technology advisory, business transformation, regulatory consulting and actuarial support. Our expertise ranges from financial services and insurance to retail, government and education. In a rapidly changing business world, we help clients overcome the challenges that they face today and prepare for whatever the future may hold. Our specialist Risk Assurance team provide services to across our strategic markets: Financial Services: Our team are one of the largest dedicated providers of Risk Assurance services to the financial sector, we work with many banks, insurance and asset management companies including FTSE, SEC, privately owned, as well as over 60% of the Lloyd's market. Public Services : Our team provide distinctive audit and advisory services across six sectors - local government, central government, health and social care, housing and charities. Industry & Services: Predominately private sector clients, ranging in size from large and listed multinational organisations, to small owner-managed businesses across multiple sectors throughout the UK and overseas. Job Purpose You are a Market Risk quant, with experience in model development / validation (pricing or risk models) or as a quant in valuation department. You are hands-on but keen to lead and provide guidance to teams of more junior colleagues on different market risk topics. You are client oriented and want to evolve in an international team, possibly travelling to better service clients when needed. You want to grow the brand and be the next ambassador for Mazars Quantitative Solutions within the UK and internationally. Within the quantitative finance team of the Consulting department, you will interact mainly with banks, but also with regulators, insurance companies, large corporates and services companies for a variety of quantitative services assignments. Role & Responsibilities Within the quantitative finance team you will be involved in projects as follows: The Manager would be expected to participate in the active growth of our Quant practice by contributing to multiple client engagement teams, working with a wide variety of clients to deliver professional services, and lead business development activities on key accounts. Lead small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients : Market Modelling: support banks in building Market Models or support Bank or regulators in Market Risk Models validation (Value at Risk, CCR, FRTB…). Average duration: between 2 and 6 months. Location : all over Europe; Financial instruments pricing: vanilla and complex derivatives for all asset classes (interest rates, credit, commodities, equity, and inflation); Pricing based on internal tool or external libraries. Prudential Valuation and IFRS reserves review / challenge and optimization. Accounting standards implementation review (IFRS 9 and IFRS13) on subjects of particular importance to the industry (financial instruments pricing, hedge effectiveness tests, CVA / DVA estimation, credit risk models); Technological monitoring, tools development for our internal library; Support for the implementation of Solvency II / Basel II & Basel III; Development and/or validation of ALM tools (interest rates shocks implementation, assumptions, model for non-maturity deposit, early reimbursement models) Manage project execution and delivery of client engagements, making sure the project is delivered within the agreed timeline and budget Identify likely issues that could impact delivery and leverage Mazars network support as required Contribute to Mazars' regulatory watch activities by writing articles or providing technical content. Work on management tasks (team planner, budget monitoring, recruitment) Work with senior managers / directors and the partner team to developing our product offerings around data science, credit and market modelling and marketing to external and internal clients. Prepare client proposals in order to contribute to meeting the Quant team's sales budget. Assist in the development of training, engagement procedures and methodologies. Mentor, coach and develop more junior staff. Skills, Knowledge and Experience Holds a degree specialising in mathematics applied to finance or actuarial studies Holds significant relevant and recent quantitative experience within a consulting environment Advanced knowledge in random modelling, statistics and probabilities Strong significant experience in Credit and/or Market risk Strong coding experience in C++, Python, Matlab, R or SAS Excellent project management and stakeholder management skills and experience Motivated by business development activities Ability to work in a team People management skills and experience, especially supervising and coaching team members Inclusion and Diversity At Mazars inclusion and diversity are central to our values. We recognise that being an inclusive and diverse organisation makes us stronger as a business. We seek to attract and recruit people who reflect the diverse nature of our clients and communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. Mazars selects candidates based on skills, knowledge, qualifications and experience.