Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale Where you will have an impact We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in data centric AI. This role will sit in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You'll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs. Working with leadership and other teams to foster a culture that promotes collaboration, high impact, innovation, and a healthy work environment. Evaluating project decisions and outcomes, identifying dependencies, and analysing risks associated with machine learning deployments. Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance. About you 7+ years of software and machine learning engineering experience in an industrial or applied research environment Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models Passion to work in a team on research ideas that have real product impact A good grasp of machine learning literature, ideally published Comfortable working with large quantities of image and video data BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA) Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models. MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact Competitive compensation and benefits A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. What sort of compensation are you after?
May 17, 2024
Full time
Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale Where you will have an impact We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in data centric AI. This role will sit in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You'll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs. Working with leadership and other teams to foster a culture that promotes collaboration, high impact, innovation, and a healthy work environment. Evaluating project decisions and outcomes, identifying dependencies, and analysing risks associated with machine learning deployments. Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance. About you 7+ years of software and machine learning engineering experience in an industrial or applied research environment Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models Passion to work in a team on research ideas that have real product impact A good grasp of machine learning literature, ideally published Comfortable working with large quantities of image and video data BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA) Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models. MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact Competitive compensation and benefits A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. What sort of compensation are you after?
IRC223575 - MARKET RISK MANAGER (CRUDES) At Eni, we are looking for a Market Risk manager (Crudes) within ETB in ETB office at Eni House, 10 Ebury Bridge Road, SW1, London. You will be responsible for overseeing and managing the market risk associated with physical crude oil and derivatives business of the company. Your expertise will be crucial in developing and implementing effective risk management strategies, monitoring market trends, analyzing data, and providing insightful recommendations to senior management. This is a challenging role that requires strong analytical skills, in-depth knowledge of commodity markets, and a proven track record in managing market risks in the physical crude oil sector. About ETB Eni is one of the leading integrated energy companies with activities in the exploration, production, transport, and marketing of oil and natural gas. As of April 2022, Eni has a market capitalisation of €51 billion and has over €75bn turnover. It is not only a leading international upstream Company but also Europe's largest natural gas Company. In keeping with Eni's overall strategy with respect to the global energy transition, starting from January 1, 2021, Eni Trade & Biofuels SpA ("ETB"), fully owned by Eni SpA, will be the sole entity responsible for the international trading of crude oil, petroleum products, biofuels and related financial derivatives for the Eni group. In particular, ETB will be responsible for marketing Eni's oil equity productions, sourcing hydrocarbon and bio feedstock and marketing the resulting productions of its traditional and green refineries and of its petrochemical arm Versalis. ETB's activities further include the sourcing and management of maritime transportation and logistics services, and the provision of oil risk management services, for itself and on behalf of the whole Eni group, by trading commodity derivatives on the main regulated and over the counter markets. ETB's integration with the wider Eni businesses ensures a global and integrated approach that is further reinforced by Eni's relationships and broad portfolio of global assets. ETB is present in the UK, in Italy, in Singapore and through a subsidiary, in Houston - USA. As a member of finance team at ETB you will be responsible for : • Managing a team of 4 analysts and ensure all risk and P&L reports are delivered to front office and management in timely manner • Monitoring market conditions and supply-demand dynamics to identify potential tail risks and assess the impact of market events and potential scenarios on the physical crude oil portfolio. • Conducting in-depth analysis of market data, including historical prices, volatilities, and other relevant indicators. • Conducting comprehensive pricing analysis, using various quantitative techniques, to assess the tail risk and economic valuation of different complex physical and derivatives transactions (Storage, Payment Quantities, Pricing Optionality etc.) • Collaborating with internal stakeholders to identify, measure, and manage risk exposures across various business functions. • Providing regular updates to senior management, highlighting market trends, risk exposures, and recommended actions. • Participating in cross-functional projects and initiatives related to risk management, trading strategies and ETRM improvement. • Supporting Back Office, Finance and Accounting on month end activities • Coaching and mentoring junior members of the risk team, fostering their growth and development in risk management. This is the opportunity for you if you have these skills and requirements : • Bachelor's degree or higher in Finance, Economics, or a related field. • Extensive market risk or product control experience in commodity trading, with a specific focus on physical crude oil and derivatives market • Strong understanding of global commodity markets, including pricing mechanisms, trading dynamics, and risk management practices. • Excellent analytical skills, with the ability to interpret complex data, identify patterns, and make data-driven recommendations. • In-depth understanding of risk measurement techniques, including value at risk (VaR), stress testing, scenario analysis, and other advanced statistical methodologies. • Familiarity with relevant risk management software and ETRM systems. • Strong proficiency in programming languages such as Python, MATLAB, SQL with experience in implementing risk and pricing models. • Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. • Strong leadership skills and willingness to mentor juniors and grow the team. Location: ETB office at Eni House, 10 Ebury Bridge Road, SW1, London Contract type: Permanent At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individual , continuous training , and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen. Energy for action takers
May 15, 2024
Full time
IRC223575 - MARKET RISK MANAGER (CRUDES) At Eni, we are looking for a Market Risk manager (Crudes) within ETB in ETB office at Eni House, 10 Ebury Bridge Road, SW1, London. You will be responsible for overseeing and managing the market risk associated with physical crude oil and derivatives business of the company. Your expertise will be crucial in developing and implementing effective risk management strategies, monitoring market trends, analyzing data, and providing insightful recommendations to senior management. This is a challenging role that requires strong analytical skills, in-depth knowledge of commodity markets, and a proven track record in managing market risks in the physical crude oil sector. About ETB Eni is one of the leading integrated energy companies with activities in the exploration, production, transport, and marketing of oil and natural gas. As of April 2022, Eni has a market capitalisation of €51 billion and has over €75bn turnover. It is not only a leading international upstream Company but also Europe's largest natural gas Company. In keeping with Eni's overall strategy with respect to the global energy transition, starting from January 1, 2021, Eni Trade & Biofuels SpA ("ETB"), fully owned by Eni SpA, will be the sole entity responsible for the international trading of crude oil, petroleum products, biofuels and related financial derivatives for the Eni group. In particular, ETB will be responsible for marketing Eni's oil equity productions, sourcing hydrocarbon and bio feedstock and marketing the resulting productions of its traditional and green refineries and of its petrochemical arm Versalis. ETB's activities further include the sourcing and management of maritime transportation and logistics services, and the provision of oil risk management services, for itself and on behalf of the whole Eni group, by trading commodity derivatives on the main regulated and over the counter markets. ETB's integration with the wider Eni businesses ensures a global and integrated approach that is further reinforced by Eni's relationships and broad portfolio of global assets. ETB is present in the UK, in Italy, in Singapore and through a subsidiary, in Houston - USA. As a member of finance team at ETB you will be responsible for : • Managing a team of 4 analysts and ensure all risk and P&L reports are delivered to front office and management in timely manner • Monitoring market conditions and supply-demand dynamics to identify potential tail risks and assess the impact of market events and potential scenarios on the physical crude oil portfolio. • Conducting in-depth analysis of market data, including historical prices, volatilities, and other relevant indicators. • Conducting comprehensive pricing analysis, using various quantitative techniques, to assess the tail risk and economic valuation of different complex physical and derivatives transactions (Storage, Payment Quantities, Pricing Optionality etc.) • Collaborating with internal stakeholders to identify, measure, and manage risk exposures across various business functions. • Providing regular updates to senior management, highlighting market trends, risk exposures, and recommended actions. • Participating in cross-functional projects and initiatives related to risk management, trading strategies and ETRM improvement. • Supporting Back Office, Finance and Accounting on month end activities • Coaching and mentoring junior members of the risk team, fostering their growth and development in risk management. This is the opportunity for you if you have these skills and requirements : • Bachelor's degree or higher in Finance, Economics, or a related field. • Extensive market risk or product control experience in commodity trading, with a specific focus on physical crude oil and derivatives market • Strong understanding of global commodity markets, including pricing mechanisms, trading dynamics, and risk management practices. • Excellent analytical skills, with the ability to interpret complex data, identify patterns, and make data-driven recommendations. • In-depth understanding of risk measurement techniques, including value at risk (VaR), stress testing, scenario analysis, and other advanced statistical methodologies. • Familiarity with relevant risk management software and ETRM systems. • Strong proficiency in programming languages such as Python, MATLAB, SQL with experience in implementing risk and pricing models. • Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. • Strong leadership skills and willingness to mentor juniors and grow the team. Location: ETB office at Eni House, 10 Ebury Bridge Road, SW1, London Contract type: Permanent At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individual , continuous training , and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen. Energy for action takers
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
May 15, 2024
Full time
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
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 15, 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
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.