Senior Python/React Engineer - Python, Flask, JavaScript, TypeScript, React, Redux, ag-Grid, AWS, Pandas, NumPy, Portfolio Management, Investment Management A Senior Fullstack Developer, skilled in Python and React, is urgently sought after by a leading global Investment Manager. based in the City. You will join their Front Office Portfolio Management function, working as part of a highly agile team building out a greenfield cloud-hosted Portfolio Management platform, specifically working on functionality to support their Equities trading business. The team work on a mixture of strategic projects and small feature enhancements based on user requirements, meaning you will be involved in an interesting variety and scale of work, with both immediate and long-term impact to their trading capability. This is a hands-on role working across the front and Back End using React and Python respectively, with other responsibilities including contributing to design/architecture and analysing/reviewing code. You will also be involved in improving the DevOps CI/CD pipelines and end-to-end testing (unit, integration etc.) The current team are primarily Back End, so you will take a leading role with regards to Front End requirements, actively driving design and development for anything UI related, ensuring seamless integration with the Back End and high quality, well-tested code is delivered. To be successful, you will require the following: A strong engineering background in Python and JavaScript/TypeScript with React Experience with frameworks/libraries such as Flask, NumPy, Pandas and Redux Experience with React Hooks, ag-grid and Cypress testing Strong knowledge of Microservices and APIs An Agile mindset, following TDD/BDD and modern DevOps practices such as CI/CD. An appreciation of cloud-native development with AWS A background in the development of high performance, high throughput Front Office trading systems (either buy or sell-side) This represents an excellent opportunity for a talented Fullstack Python/React Developer to join a World-leading firm and help drive the build of an exciting greenfield cloud-hosted Portfolio Management platform. Please note this will offered on a Fixed Term Contract basis for an initial period of 12 months. Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UKs fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.
May 01, 2024
Senior Python/React Engineer - Python, Flask, JavaScript, TypeScript, React, Redux, ag-Grid, AWS, Pandas, NumPy, Portfolio Management, Investment Management A Senior Fullstack Developer, skilled in Python and React, is urgently sought after by a leading global Investment Manager. based in the City. You will join their Front Office Portfolio Management function, working as part of a highly agile team building out a greenfield cloud-hosted Portfolio Management platform, specifically working on functionality to support their Equities trading business. The team work on a mixture of strategic projects and small feature enhancements based on user requirements, meaning you will be involved in an interesting variety and scale of work, with both immediate and long-term impact to their trading capability. This is a hands-on role working across the front and Back End using React and Python respectively, with other responsibilities including contributing to design/architecture and analysing/reviewing code. You will also be involved in improving the DevOps CI/CD pipelines and end-to-end testing (unit, integration etc.) The current team are primarily Back End, so you will take a leading role with regards to Front End requirements, actively driving design and development for anything UI related, ensuring seamless integration with the Back End and high quality, well-tested code is delivered. To be successful, you will require the following: A strong engineering background in Python and JavaScript/TypeScript with React Experience with frameworks/libraries such as Flask, NumPy, Pandas and Redux Experience with React Hooks, ag-grid and Cypress testing Strong knowledge of Microservices and APIs An Agile mindset, following TDD/BDD and modern DevOps practices such as CI/CD. An appreciation of cloud-native development with AWS A background in the development of high performance, high throughput Front Office trading systems (either buy or sell-side) This represents an excellent opportunity for a talented Fullstack Python/React Developer to join a World-leading firm and help drive the build of an exciting greenfield cloud-hosted Portfolio Management platform. Please note this will offered on a Fixed Term Contract basis for an initial period of 12 months. Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UKs fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. As a Senior or Staff Software Engineer, you will develop systems to translate cutting-edge machine learning into complex trading behaviors. You will touch areas as wide-ranging as machine learning, finance, and technology. This role is a means to make a difference: together with other Software Engineers, you will build the backbone of our business. Responsibilities Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more Proactively lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates Design and implement fault-tolerant distributed systems Build large-scale data infrastructure, stream processing systems, and/or latency-sensitive programs Act as a technical leader for both research and engineering staff Requirements Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using programming languages such as Python, Go, R, and/or C/C++ Work in performance optimization, multi-threading, and server development Architect and design work in highly available systems and large-scale data management infrastructure Work in a large codebase and experience building modular, manageable code Eagerness to work in diverse teams Bachelor's degree in computer science or a related technical field "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn USD $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
May 01, 2024
Full time
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. As a Senior or Staff Software Engineer, you will develop systems to translate cutting-edge machine learning into complex trading behaviors. You will touch areas as wide-ranging as machine learning, finance, and technology. This role is a means to make a difference: together with other Software Engineers, you will build the backbone of our business. Responsibilities Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more Proactively lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates Design and implement fault-tolerant distributed systems Build large-scale data infrastructure, stream processing systems, and/or latency-sensitive programs Act as a technical leader for both research and engineering staff Requirements Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using programming languages such as Python, Go, R, and/or C/C++ Work in performance optimization, multi-threading, and server development Architect and design work in highly available systems and large-scale data management infrastructure Work in a large codebase and experience building modular, manageable code Eagerness to work in diverse teams Bachelor's degree in computer science or a related technical field "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn USD $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
May 01, 2024
Full time
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
Senior Software Engineer / Developer (C++ Python Linux) London / WFH to £160k Do you have expertise with C++ / Python backend development? You could be progressing your career working on complex, real-time systems at a global Hedge Fund in a hands-on Senior Software Engineer role with continual learning, development and problem solving opportunities. As a Senior Software Engineer you'll collaborate with a small engineering team and with Portfolio Managers to build, operate and evolve the technical stack; you'll be developing modular systems to tackle a range of challenges such as data pipelines, intraday signal research tools, high frequency trading and back-testing, real-time market data systems, monitoring systems as well as data storage, times series data and event correlation. You'll work across the full development lifecycle, from requirements analysis through to solution delivery; there's lots of problem solving within a fast paced environment. Location / WFH: You'll join a highly talented team in the London office three days a week with flexibility to work from home the other two days. Requirements: You have expertise with C++ and are fluent with Python You have experience of designing and developing research and live trading infrastructure at a buy-side firm (i.e. Hedge Fund or trading company), including experience in Futures and FX You have a strong knowledge of Linux OS / Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc / PhD level - Computer Science or similar discipline Salary & benefits: As a Senior Software Engineer you will earn a competitive salary (to £160k) plus significant bonus and benefits package (c100%). Apply now to find out more about this Senior Software Engineer / Developer (C++ Python Linux) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
May 01, 2024
Full time
Senior Software Engineer / Developer (C++ Python Linux) London / WFH to £160k Do you have expertise with C++ / Python backend development? You could be progressing your career working on complex, real-time systems at a global Hedge Fund in a hands-on Senior Software Engineer role with continual learning, development and problem solving opportunities. As a Senior Software Engineer you'll collaborate with a small engineering team and with Portfolio Managers to build, operate and evolve the technical stack; you'll be developing modular systems to tackle a range of challenges such as data pipelines, intraday signal research tools, high frequency trading and back-testing, real-time market data systems, monitoring systems as well as data storage, times series data and event correlation. You'll work across the full development lifecycle, from requirements analysis through to solution delivery; there's lots of problem solving within a fast paced environment. Location / WFH: You'll join a highly talented team in the London office three days a week with flexibility to work from home the other two days. Requirements: You have expertise with C++ and are fluent with Python You have experience of designing and developing research and live trading infrastructure at a buy-side firm (i.e. Hedge Fund or trading company), including experience in Futures and FX You have a strong knowledge of Linux OS / Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc / PhD level - Computer Science or similar discipline Salary & benefits: As a Senior Software Engineer you will earn a competitive salary (to £160k) plus significant bonus and benefits package (c100%). Apply now to find out more about this Senior Software Engineer / Developer (C++ Python Linux) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Position: Head of Data Engineering Overview: As the Head of Data Engineering for a scale up Digital Lender, you will play a critical role in designing, developing, and managing the data infrastructure that powers the digital platform. This position requires strong technical expertise in data engineering, AWS services, and financial data processing. You will lead a team of data engineers to ensure the efficient extraction, transformation, and loading of financial data into their analytics and decision-making systems. Responsibilities: Architectural Design: Design and architect scalable, efficient, and reliable ETL pipelines on AWS, ensuring high performance and low latency data processing. AWS Service Utilisation: Utilise various AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda to build end-to-end data pipelines that meet business requirements and compliance standards. Team Leadership: Lead and mentor a team of data engineers, fostering a culture of collaboration, innovation, and excellence. Provide guidance on best practices, code reviews, and technical troubleshooting. Data Processing: Oversee the development and optimisation of data processing workflows, ensuring data integrity, accuracy, and completeness throughout the pipeline. Performance Optimisation: Continuously optimise ETL processes for performance, scalability, and cost-efficiency. Identify bottlenecks and implement solutions to enhance pipeline throughput and reduce processing times. Monitoring and Maintenance: Implement robust monitoring and alerting systems to proactively identify and address issues in the data pipeline. Perform routine maintenance and upgrades to ensure system reliability and stability. Security and Compliance: Work closely with the security and compliance teams to implement data security best practices, encryption mechanisms, and access controls. Ensure compliance with relevant regulations such as GDPR, PCI-DSS, and SOC 2. Collaboration: Collaborate cross-functionally with product managers, data scientists, software engineers, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Documentation: Create comprehensive documentation for ETL processes, data schemas, and system configurations. Ensure documentation is up-to-date and accessible to relevant stakeholders. Stay Updated: Stay abreast of the latest advancements in data engineering, AWS technologies, and fintech industry trends. Evaluate new tools and technologies to improve the efficiency and effectiveness of the data pipeline. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience (5 years) in designing, building, and managing large-scale data pipelines on AWS. Strong expertise in AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda. Proficiency in programming languages such as Python, Scala, or Java for data processing and automation. Solid understanding of data modeling, data warehousing concepts, and SQL proficiency. Experience with financial data processing, including knowledge of financial instruments, market data, and regulatory requirements. Excellent leadership and communication skills, with the ability to effectively lead and inspire a team. Strong problem-solving skills and attention to detail, with a focus on delivering high-quality solutions. AWS certification (e.g., AWS Certified Big Data - Specialty) is a plus. Join in revolutionising the fintech digital industry with cutting-edge data engineering solutions on AWS. Apply now to be part of the dynamic and innovative team! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process. For more information about this role, please contact:
May 01, 2024
Full time
Position: Head of Data Engineering Overview: As the Head of Data Engineering for a scale up Digital Lender, you will play a critical role in designing, developing, and managing the data infrastructure that powers the digital platform. This position requires strong technical expertise in data engineering, AWS services, and financial data processing. You will lead a team of data engineers to ensure the efficient extraction, transformation, and loading of financial data into their analytics and decision-making systems. Responsibilities: Architectural Design: Design and architect scalable, efficient, and reliable ETL pipelines on AWS, ensuring high performance and low latency data processing. AWS Service Utilisation: Utilise various AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda to build end-to-end data pipelines that meet business requirements and compliance standards. Team Leadership: Lead and mentor a team of data engineers, fostering a culture of collaboration, innovation, and excellence. Provide guidance on best practices, code reviews, and technical troubleshooting. Data Processing: Oversee the development and optimisation of data processing workflows, ensuring data integrity, accuracy, and completeness throughout the pipeline. Performance Optimisation: Continuously optimise ETL processes for performance, scalability, and cost-efficiency. Identify bottlenecks and implement solutions to enhance pipeline throughput and reduce processing times. Monitoring and Maintenance: Implement robust monitoring and alerting systems to proactively identify and address issues in the data pipeline. Perform routine maintenance and upgrades to ensure system reliability and stability. Security and Compliance: Work closely with the security and compliance teams to implement data security best practices, encryption mechanisms, and access controls. Ensure compliance with relevant regulations such as GDPR, PCI-DSS, and SOC 2. Collaboration: Collaborate cross-functionally with product managers, data scientists, software engineers, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Documentation: Create comprehensive documentation for ETL processes, data schemas, and system configurations. Ensure documentation is up-to-date and accessible to relevant stakeholders. Stay Updated: Stay abreast of the latest advancements in data engineering, AWS technologies, and fintech industry trends. Evaluate new tools and technologies to improve the efficiency and effectiveness of the data pipeline. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience (5 years) in designing, building, and managing large-scale data pipelines on AWS. Strong expertise in AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda. Proficiency in programming languages such as Python, Scala, or Java for data processing and automation. Solid understanding of data modeling, data warehousing concepts, and SQL proficiency. Experience with financial data processing, including knowledge of financial instruments, market data, and regulatory requirements. Excellent leadership and communication skills, with the ability to effectively lead and inspire a team. Strong problem-solving skills and attention to detail, with a focus on delivering high-quality solutions. AWS certification (e.g., AWS Certified Big Data - Specialty) is a plus. Join in revolutionising the fintech digital industry with cutting-edge data engineering solutions on AWS. Apply now to be part of the dynamic and innovative team! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process. For more information about this role, please contact:
The Technology Strategy team is responsible for shaping technology strategy for the bank - this includes engineering best in class platforms and solving the gnarliest of engineering problems at scale, defining architectural patterns that are employed across Citi businesses. This is a new, multi-disciplined group that operates like a start-up within the bank to deliver value at pace and includes product managers, technology SMEs, full stack senior engineers, security engineers, cloud engineers and architects from a deep background in technology and engineering (Kubernetes, open source, Golang, public cloud, the Google stack, Java etc.). This group is part of the Engineering and Architecture Practice (EAP) in Citi and is spread globally. The role Citi is seeking an experienced, hands-on backend engineer with a deep passion for technology and engineering to join the Technology Strategy group. You'll be responsible for engineering core, global scale, technology assets and platforms that are secure by design, employ a zero-trust model and are built with best-in-class security controls. These stacks will be engineered using modern, cloud native principles and will employ leading open-source technologies. You will be at the forefront of shaping and building the strategic deployable blueprints and technology solutions that we are engineering for the bank. We are looking for backend engineers with over 8+ years of experience in building and rolling out an ecosystem of digital solutions from concept to delivery. You'll be working with a varied technology stack, including open source and propriety tooling, and platforms such as Google Cloud, AWS, Kubernetes and the associated ecosystem. The ideal candidate is a professional with, deep hands-on experience & demonstrable engineering leadership, proficiency in engineering transformative solutions using Kubernetes, open-source tech, deep experience in language stacks such as Golang, Nodejs and Java. We expect candidates who apply to this role to be well versed with hybrid i.e. on-prem enterprise and public cloud technologies. You should be comfortable working at the edge of technology, have a deep love for software engineering and programming, and be driven by a strong desire to become the best engineer you can be. Responsibilities Engineering of end-to-end platforms; from concept to delivery Developing applications and platforms using Golang, Java, Rust and Nodejs Candidate should have extensive public cloud experience and should have delivered hybrid architectures spanning private and public cloud/s Be the liaison that drives adoption of the outlined technology strategy in all lines of businesses for ICG Developing automation for application and containerization best practices that can be enforced / validated in CI/CD pipelines, Kubernetes and other platforms Prototyping new concepts and open-source technologies at pace for relevance Educating the wider community on engineering best practices and platforms developed by the group Partnering with central teams to develop IaC modules, CI/CD pipelines with Tekton and other such leading products Qualifications Deep proficiency in using language stacks such as Golang, Nodejs, Python and Java Candidate should have extensive public cloud experience and should have delivered hybrid architectures spanning private and public cloud/s Deep proficiency in Kubernetes and containerisation is a must have Familiarity with open-source toolchains, package managers such as Helm, Kustomize is a plus Good applied understanding of DevSecOps Familiarity with open source and proprietary tech including Kafka, Hashicorp Vault, Terraform, Postgres, MongoDB, Prometheus and other such is expected Ability to evangelise the technology strategy vision and solutions developed thereof within a large matrixed organisation Strong communication skills with ability to drive ideation and manage conflicts Ability to discuss complex issues to technical and non-technical audiences that include peers, product owners, and other stakeholders What we can offer you: This is a unique role that will put you in the position to actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Architecture Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
May 01, 2024
Full time
The Technology Strategy team is responsible for shaping technology strategy for the bank - this includes engineering best in class platforms and solving the gnarliest of engineering problems at scale, defining architectural patterns that are employed across Citi businesses. This is a new, multi-disciplined group that operates like a start-up within the bank to deliver value at pace and includes product managers, technology SMEs, full stack senior engineers, security engineers, cloud engineers and architects from a deep background in technology and engineering (Kubernetes, open source, Golang, public cloud, the Google stack, Java etc.). This group is part of the Engineering and Architecture Practice (EAP) in Citi and is spread globally. The role Citi is seeking an experienced, hands-on backend engineer with a deep passion for technology and engineering to join the Technology Strategy group. You'll be responsible for engineering core, global scale, technology assets and platforms that are secure by design, employ a zero-trust model and are built with best-in-class security controls. These stacks will be engineered using modern, cloud native principles and will employ leading open-source technologies. You will be at the forefront of shaping and building the strategic deployable blueprints and technology solutions that we are engineering for the bank. We are looking for backend engineers with over 8+ years of experience in building and rolling out an ecosystem of digital solutions from concept to delivery. You'll be working with a varied technology stack, including open source and propriety tooling, and platforms such as Google Cloud, AWS, Kubernetes and the associated ecosystem. The ideal candidate is a professional with, deep hands-on experience & demonstrable engineering leadership, proficiency in engineering transformative solutions using Kubernetes, open-source tech, deep experience in language stacks such as Golang, Nodejs and Java. We expect candidates who apply to this role to be well versed with hybrid i.e. on-prem enterprise and public cloud technologies. You should be comfortable working at the edge of technology, have a deep love for software engineering and programming, and be driven by a strong desire to become the best engineer you can be. Responsibilities Engineering of end-to-end platforms; from concept to delivery Developing applications and platforms using Golang, Java, Rust and Nodejs Candidate should have extensive public cloud experience and should have delivered hybrid architectures spanning private and public cloud/s Be the liaison that drives adoption of the outlined technology strategy in all lines of businesses for ICG Developing automation for application and containerization best practices that can be enforced / validated in CI/CD pipelines, Kubernetes and other platforms Prototyping new concepts and open-source technologies at pace for relevance Educating the wider community on engineering best practices and platforms developed by the group Partnering with central teams to develop IaC modules, CI/CD pipelines with Tekton and other such leading products Qualifications Deep proficiency in using language stacks such as Golang, Nodejs, Python and Java Candidate should have extensive public cloud experience and should have delivered hybrid architectures spanning private and public cloud/s Deep proficiency in Kubernetes and containerisation is a must have Familiarity with open-source toolchains, package managers such as Helm, Kustomize is a plus Good applied understanding of DevSecOps Familiarity with open source and proprietary tech including Kafka, Hashicorp Vault, Terraform, Postgres, MongoDB, Prometheus and other such is expected Ability to evangelise the technology strategy vision and solutions developed thereof within a large matrixed organisation Strong communication skills with ability to drive ideation and manage conflicts Ability to discuss complex issues to technical and non-technical audiences that include peers, product owners, and other stakeholders What we can offer you: This is a unique role that will put you in the position to actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Architecture Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
ABOUT BBC STUDIOS BBC Studios is the commercial arm of the BBC Group and is a thriving and exciting business. We invest in and produce amazing content and millions of users across the world interact with our products every week. We have a proven track record of growth and are ambitious for the future. As we grow, we are actively transforming our culture, investing in our employees and our ways of working, to build a bold, agile, inventive and inclusive business. At the forefront of this transformation, we are building a brand new data platform for BBC Studios that will help unlock our ability to provide more personalised experiences for our customers and audiences and enable us to understand them better. Investment in data is crucial to our ambitions of making BBC Studios an area of growth for the BBC. Our Team We are looking for a talented Data Engineer to join our multi-disciplinary data platform team at BBC Studios. We are looking for people that have a passion for data engineering, are keen problem solvers and are energised by the opportunity to work on a brand-new key initiative. Are you looking for a role that builds on your experience with engineering data systems? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. THE ROLE The core of the role is building and maintaining core data pipelines for ingesting, processing and summarisation of data. Using automation as a default, and delivering high-quality code to define pipelines and transformations. As a data engineer, you will have the opportunity to assist with the data platform blueprint and design, evaluating workflows and tools for the platform, supported by senior engineers and engineering leaders. Maintaining security on the platform is very important to ensure that we protect the data we hold about our audience and ensure it is used in line with our data governance policies. This role gives you the opportunity to suggest solutions and infrastructure to be created with appropriate levels of security and encryption. Experience in data privacy engineering and techniques and anonymisation, data masking and obfuscation and others is highly desirable. The data platform is a brand-new capability built using modern tools and components. We want to keep developing the platform and ensure we are keeping the platform up-to-date, so awareness of emerging database technologies and their potential impact on our data platform as well as staying up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling are key responsibilities. WHAT DOES IT TAKE? You will be a passionate engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. You will be a key member of our data platform engineering team, developing high-performing, scalable, high-impact data products and services. We are looking for a person who is motivated by delivering high-quality solutions, driven to develop in their careers, and is a strong communicator. You will be supported by your team and leaders to deliver value with an eye on quality, scale, and security. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: Technical Skills Knowledge of Big Data pipelines and processing technologies and experience in data processing and building data pipelines. Knowledge of database design, performance optimisation, and troubleshooting. Enthusiasm for writing clean, well-documented, and testable code and experience with software testing practices including unit testing frameworks where relevant. A security-first mindset - a good understanding of security and compliance principles as they relate to data infrastructures and the management of data. Goal-oriented - you'll enjoy finishing the job by developing the final details. Strong problem-solving skills and experience with troubleshooting and root cause analysis. A willingness to deliver user value early while balancing technical quality - having an iterative deliverable mindset. Communication Good communication skills - a great candidate will be able to communicate with other engineers and non-technical stakeholders, tailoring the message appropriately to the audience. The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be. Curiosity and an openness to change - we're always learning new technologies and requirements often change. If that energises you, you'll enjoy this challenge! Technologies Experience with SQL, DBT and familiarity with Data Warehousing technologies (ideally Snowflake). Experience using general-purpose programming languages (typically we use Python and NodeJS for application services, but you should feel empowered to flex to what suits the job most effectively). Experience of building components on the cloud (preferably AWS). Experience of containerisation techniques using tools like Docker/Kubernetes. We are infrastructure as code first in our approaches - so experience with infrastructure/configuration as code tools and techniques (such as Terraform and CloudFormation). Familiarity with CI/CD pipelines for code validation and deployment. Experience of data pipeline orchestration e.g. Airflow or Jenkins. PACKAGE DESCRIPTION Job Reference: 11827 Band: D Salary: Up to £49,230 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract Type: Permanent Location: London - Television Centre Working Pattern: Hybrid Working (Mix of working from home plus two/three days a week in the office). We are really proud to share that we are a Level 2 Disability Confident Employer and so if you require any reasonable adjustments in order to apply please do contact us at with the job reference in the subject. We offer flexibility, competitive benefits and the opportunity to be part of the BBC's exciting mission. Some of the key benefits you'll get from working in this role are: Flexible/Agile working - opportunities across the business. We believe in empowering you to do your best work, so we offer support and flexibility to balance work and home. We're happy to discuss a formal flexible working pattern. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at the offer stage. Unrivalled training and development opportunities - we operate a people-first culture and pride ourselves on your development. Our in-house Academy hosts a wide range of internal and external courses and certifications. Excellent career progression - BBC Studios offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Leaders at the BBC are passionate about helping our people grow in the organisation and you will have regular sessions with your line manager to support you with your career ambitions. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (plus an additional day which is a Corporation Day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. LIFE AT BBC STUDIOS We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours here. The BBC is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background. More information on our D&I plan can be found here. BBC Studios puts sustainability at the heart of everything we do both onscreen and offscreen, including delivering against the BBC Group's science-based Net Zero targets. More information on sustainability at BBC Studios can be found here.
May 01, 2024
Full time
ABOUT BBC STUDIOS BBC Studios is the commercial arm of the BBC Group and is a thriving and exciting business. We invest in and produce amazing content and millions of users across the world interact with our products every week. We have a proven track record of growth and are ambitious for the future. As we grow, we are actively transforming our culture, investing in our employees and our ways of working, to build a bold, agile, inventive and inclusive business. At the forefront of this transformation, we are building a brand new data platform for BBC Studios that will help unlock our ability to provide more personalised experiences for our customers and audiences and enable us to understand them better. Investment in data is crucial to our ambitions of making BBC Studios an area of growth for the BBC. Our Team We are looking for a talented Data Engineer to join our multi-disciplinary data platform team at BBC Studios. We are looking for people that have a passion for data engineering, are keen problem solvers and are energised by the opportunity to work on a brand-new key initiative. Are you looking for a role that builds on your experience with engineering data systems? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. THE ROLE The core of the role is building and maintaining core data pipelines for ingesting, processing and summarisation of data. Using automation as a default, and delivering high-quality code to define pipelines and transformations. As a data engineer, you will have the opportunity to assist with the data platform blueprint and design, evaluating workflows and tools for the platform, supported by senior engineers and engineering leaders. Maintaining security on the platform is very important to ensure that we protect the data we hold about our audience and ensure it is used in line with our data governance policies. This role gives you the opportunity to suggest solutions and infrastructure to be created with appropriate levels of security and encryption. Experience in data privacy engineering and techniques and anonymisation, data masking and obfuscation and others is highly desirable. The data platform is a brand-new capability built using modern tools and components. We want to keep developing the platform and ensure we are keeping the platform up-to-date, so awareness of emerging database technologies and their potential impact on our data platform as well as staying up-to-date with developments in the open source community around DevOps, data engineering, data science, and similar tooling are key responsibilities. WHAT DOES IT TAKE? You will be a passionate engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. You will be a key member of our data platform engineering team, developing high-performing, scalable, high-impact data products and services. We are looking for a person who is motivated by delivering high-quality solutions, driven to develop in their careers, and is a strong communicator. You will be supported by your team and leaders to deliver value with an eye on quality, scale, and security. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: Technical Skills Knowledge of Big Data pipelines and processing technologies and experience in data processing and building data pipelines. Knowledge of database design, performance optimisation, and troubleshooting. Enthusiasm for writing clean, well-documented, and testable code and experience with software testing practices including unit testing frameworks where relevant. A security-first mindset - a good understanding of security and compliance principles as they relate to data infrastructures and the management of data. Goal-oriented - you'll enjoy finishing the job by developing the final details. Strong problem-solving skills and experience with troubleshooting and root cause analysis. A willingness to deliver user value early while balancing technical quality - having an iterative deliverable mindset. Communication Good communication skills - a great candidate will be able to communicate with other engineers and non-technical stakeholders, tailoring the message appropriately to the audience. The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be. Curiosity and an openness to change - we're always learning new technologies and requirements often change. If that energises you, you'll enjoy this challenge! Technologies Experience with SQL, DBT and familiarity with Data Warehousing technologies (ideally Snowflake). Experience using general-purpose programming languages (typically we use Python and NodeJS for application services, but you should feel empowered to flex to what suits the job most effectively). Experience of building components on the cloud (preferably AWS). Experience of containerisation techniques using tools like Docker/Kubernetes. We are infrastructure as code first in our approaches - so experience with infrastructure/configuration as code tools and techniques (such as Terraform and CloudFormation). Familiarity with CI/CD pipelines for code validation and deployment. Experience of data pipeline orchestration e.g. Airflow or Jenkins. PACKAGE DESCRIPTION Job Reference: 11827 Band: D Salary: Up to £49,230 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract Type: Permanent Location: London - Television Centre Working Pattern: Hybrid Working (Mix of working from home plus two/three days a week in the office). We are really proud to share that we are a Level 2 Disability Confident Employer and so if you require any reasonable adjustments in order to apply please do contact us at with the job reference in the subject. We offer flexibility, competitive benefits and the opportunity to be part of the BBC's exciting mission. Some of the key benefits you'll get from working in this role are: Flexible/Agile working - opportunities across the business. We believe in empowering you to do your best work, so we offer support and flexibility to balance work and home. We're happy to discuss a formal flexible working pattern. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at the offer stage. Unrivalled training and development opportunities - we operate a people-first culture and pride ourselves on your development. Our in-house Academy hosts a wide range of internal and external courses and certifications. Excellent career progression - BBC Studios offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Leaders at the BBC are passionate about helping our people grow in the organisation and you will have regular sessions with your line manager to support you with your career ambitions. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (plus an additional day which is a Corporation Day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. LIFE AT BBC STUDIOS We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours here. The BBC is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background. More information on our D&I plan can be found here. BBC Studios puts sustainability at the heart of everything we do both onscreen and offscreen, including delivering against the BBC Group's science-based Net Zero targets. More information on sustainability at BBC Studios can be found here.
Are you ready to make a significant impact? We're not talking about creating the next viral app but rather revolutionizing the most advanced manufacturing industry globally and improving the lives of countless individuals within it. Envision yourself stepping into a semiconductor factory-a massive facility housing thousands of machines within a pristine, dust-free cleanroom. Clad in a clean suit, you have the opportunity to explore the photolithography cell, passing by machines valued at over $100 million each, utilising ultraviolet light exposures to imprint nanometer-scale patterns onto silicon wafers. As you stroll along the entire row of these cutting-edge machines, it takes a full minute, and the rest of the factory requires multiple hours to tour. Consider the billions invested in constructing such a facility, and now, picture the impact of our optimisation software, effortlessly adding 10% or more capacity. This isn't just a tech solution; it's a game-changer with a tangible effect on the global GDP. Our products directly contribute to the development of the next generation of chips, powering AI data centres, autonomous vehicles, and yes, even rockets (we're proud to collaborate with a SpaceX supplier!). If you're ready to be part of something truly transformative, this is the opportunity you've been waiting for. We are looking for a highly motivated senior product manager to discover, design, develop and bring highly innovative products into new markets in the semiconductor company. Previous experience in semiconductor or manufacturing is not required - we'll get you up to speed! About the role Product managers at Flexciton have a high degree of autonomy and ownership over their products. We are not glorified project managers; our first responsibility is to identify opportunities for the growth and success of the company, design solutions, and get them to market. We're looking for someone who has a proven track record of delivering innovative B2B products from conception to success in the market and increased revenue-enabled company growth. What you'll be doing Product Strategy & Development Expert Strategic Ownership: Define product strategy as a mini-CEO, ensuring alignment across the organisation, customers, and business stakeholders. End-to-End Product Lifecycle Management: Oversee the product development lifecycle from discovery to launch, including prototyping, wireframing, and mockup design Collaborative Leadership: Work with fellow Product Managers and senior leadership to align product strategy across the Flexciton platform and product suite. Visionary Leadership: Define the product vision within your area, aligning it with the overall Flexciton product vision. Discovering New Products and Technologies Customer-Centric Approach: Engage with customers globally, navigating the complexities of a technical and secretive industry to understand real needs. Market Analysis: Analyse market and competition, deriving product opportunities and defining technical requirements. Cross-functional Collaboration: Work closely with AI researchers and engineers to enable novel solutions for complex problems. Product Validation and Management Prototyping and Testing: Enable prototyping of solutions and UI designs, conducting constant user testing. Data Analysis: Analyse semiconductor manufacturing data, estimating ROIs, and defining KPIs for informed decision-making Agile Iteration: Identify novel ways to iterate and test developments rapidly, optimizing validation and development processes. Execution and Engineering Enablement Product Ownership: Independently drive actions and initiatives for product success. Technical Expertise: Dive into technical details to ensure alignment with customer needs and product strategy. Collaborative Development: Work with cross-functional engineering teams to prioritize and drive features aligned with business objectives. Scrum Product Ownership: Fulfill the role of a scrum product owner, managing the product development team's quarterly OKRs. Product Marketing Go-To-Market Strategy: Collaborate with the commercial team to create Go-To-Market strategy, business model, and pricing for revenue maximisation. Narrative Ownership: Communicate clear value propositions internally and externally, including the creation of compelling product demos. Competitor Analysis: Conduct competitor analysis and work closely with marketing to position products effectively in the market. Marketing Support: Support marketing campaigns, and develop content, articles, and case studies to inspire internal teams, customers, and the industry. What we are looking for in you Proven experience as a Senior Product Manager in a deep tech or B2B SaaS company. Demonstrated success in bringing complex technical products to market. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and clients. Commercial awareness - ability to effectively communicate business value at different orgnaisation levels. Strategic thinker with a track record of driving results in a fast-paced, startup environment Start up mindset, ability to deal with very dynamic environments, adapt to the continuous changes in market and business, ability to learn very quickly and meet new business needs. Technical skills - ability to understand technical concepts, and communicate with technical users. (Our products are technically sophisticated) Experience in software Excel / SQL / python / tableau and data analysis (users, product, market) Additional & Nice to haves . Please do not hesitate to apply if you do not have the following requirements. These are only a bonus for us, and you can expect to learn and grow in these aspects in this role with us. Worked with on-prem deployments Knowledge of optimisation/AI, worked on products invovled optimisation Experience in manufacturing, semiconductor and/or industrial engineering What Success look like for the first 6 months Fast onboarding understanding of industry, product and competition Visit a fab and speak directly to our clients Take ownership of one of our new products and lead two of our most cutting edge products Define product strategy and product roadmap Enable Sales and Marketing to communicate product effectively Iterate on the product and increase product market fit Benefits Competitive salary based on skills and experience Stock Options so when we make it big - so do you! L&D Opportunities We are determined to continuously develop ourselves, our company and our teams. We have a £500 training allowance for every employee. We also have our mini library where we keep adding books every week. We want to be able to create as many opportunities for our teams' growth . Hybrid working model of 3 days in the office (Monday, Tuesdays and Fridays) and 2 days working from home. Breakfasts and Snacks Our office is stocked with snacks, drinks, fruits, cereal. Monthly lunches in the office Quarterly team activity or dinner . Annual Team Trip Every year, we take our team to an annual retreat where we have strategy workshops, foster our culture and do lots of fun activities. Additional day of holiday every year (up to 30 days) after two years of service. 2 Weeks Work From Anywhere Policy
May 01, 2024
Full time
Are you ready to make a significant impact? We're not talking about creating the next viral app but rather revolutionizing the most advanced manufacturing industry globally and improving the lives of countless individuals within it. Envision yourself stepping into a semiconductor factory-a massive facility housing thousands of machines within a pristine, dust-free cleanroom. Clad in a clean suit, you have the opportunity to explore the photolithography cell, passing by machines valued at over $100 million each, utilising ultraviolet light exposures to imprint nanometer-scale patterns onto silicon wafers. As you stroll along the entire row of these cutting-edge machines, it takes a full minute, and the rest of the factory requires multiple hours to tour. Consider the billions invested in constructing such a facility, and now, picture the impact of our optimisation software, effortlessly adding 10% or more capacity. This isn't just a tech solution; it's a game-changer with a tangible effect on the global GDP. Our products directly contribute to the development of the next generation of chips, powering AI data centres, autonomous vehicles, and yes, even rockets (we're proud to collaborate with a SpaceX supplier!). If you're ready to be part of something truly transformative, this is the opportunity you've been waiting for. We are looking for a highly motivated senior product manager to discover, design, develop and bring highly innovative products into new markets in the semiconductor company. Previous experience in semiconductor or manufacturing is not required - we'll get you up to speed! About the role Product managers at Flexciton have a high degree of autonomy and ownership over their products. We are not glorified project managers; our first responsibility is to identify opportunities for the growth and success of the company, design solutions, and get them to market. We're looking for someone who has a proven track record of delivering innovative B2B products from conception to success in the market and increased revenue-enabled company growth. What you'll be doing Product Strategy & Development Expert Strategic Ownership: Define product strategy as a mini-CEO, ensuring alignment across the organisation, customers, and business stakeholders. End-to-End Product Lifecycle Management: Oversee the product development lifecycle from discovery to launch, including prototyping, wireframing, and mockup design Collaborative Leadership: Work with fellow Product Managers and senior leadership to align product strategy across the Flexciton platform and product suite. Visionary Leadership: Define the product vision within your area, aligning it with the overall Flexciton product vision. Discovering New Products and Technologies Customer-Centric Approach: Engage with customers globally, navigating the complexities of a technical and secretive industry to understand real needs. Market Analysis: Analyse market and competition, deriving product opportunities and defining technical requirements. Cross-functional Collaboration: Work closely with AI researchers and engineers to enable novel solutions for complex problems. Product Validation and Management Prototyping and Testing: Enable prototyping of solutions and UI designs, conducting constant user testing. Data Analysis: Analyse semiconductor manufacturing data, estimating ROIs, and defining KPIs for informed decision-making Agile Iteration: Identify novel ways to iterate and test developments rapidly, optimizing validation and development processes. Execution and Engineering Enablement Product Ownership: Independently drive actions and initiatives for product success. Technical Expertise: Dive into technical details to ensure alignment with customer needs and product strategy. Collaborative Development: Work with cross-functional engineering teams to prioritize and drive features aligned with business objectives. Scrum Product Ownership: Fulfill the role of a scrum product owner, managing the product development team's quarterly OKRs. Product Marketing Go-To-Market Strategy: Collaborate with the commercial team to create Go-To-Market strategy, business model, and pricing for revenue maximisation. Narrative Ownership: Communicate clear value propositions internally and externally, including the creation of compelling product demos. Competitor Analysis: Conduct competitor analysis and work closely with marketing to position products effectively in the market. Marketing Support: Support marketing campaigns, and develop content, articles, and case studies to inspire internal teams, customers, and the industry. What we are looking for in you Proven experience as a Senior Product Manager in a deep tech or B2B SaaS company. Demonstrated success in bringing complex technical products to market. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and clients. Commercial awareness - ability to effectively communicate business value at different orgnaisation levels. Strategic thinker with a track record of driving results in a fast-paced, startup environment Start up mindset, ability to deal with very dynamic environments, adapt to the continuous changes in market and business, ability to learn very quickly and meet new business needs. Technical skills - ability to understand technical concepts, and communicate with technical users. (Our products are technically sophisticated) Experience in software Excel / SQL / python / tableau and data analysis (users, product, market) Additional & Nice to haves . Please do not hesitate to apply if you do not have the following requirements. These are only a bonus for us, and you can expect to learn and grow in these aspects in this role with us. Worked with on-prem deployments Knowledge of optimisation/AI, worked on products invovled optimisation Experience in manufacturing, semiconductor and/or industrial engineering What Success look like for the first 6 months Fast onboarding understanding of industry, product and competition Visit a fab and speak directly to our clients Take ownership of one of our new products and lead two of our most cutting edge products Define product strategy and product roadmap Enable Sales and Marketing to communicate product effectively Iterate on the product and increase product market fit Benefits Competitive salary based on skills and experience Stock Options so when we make it big - so do you! L&D Opportunities We are determined to continuously develop ourselves, our company and our teams. We have a £500 training allowance for every employee. We also have our mini library where we keep adding books every week. We want to be able to create as many opportunities for our teams' growth . Hybrid working model of 3 days in the office (Monday, Tuesdays and Fridays) and 2 days working from home. Breakfasts and Snacks Our office is stocked with snacks, drinks, fruits, cereal. Monthly lunches in the office Quarterly team activity or dinner . Annual Team Trip Every year, we take our team to an annual retreat where we have strategy workshops, foster our culture and do lots of fun activities. Additional day of holiday every year (up to 30 days) after two years of service. 2 Weeks Work From Anywhere Policy
Job Description We are looking for an Architect to join our AI research and development team to research, develop and launch the next generation of AI inference software and tools, on both scalable cloud infrastructure and optimized device platforms. You will need to judge priorities and develop novel designs across our technology, tools and partners to meet product and customer milestones. Our mission is to use the latest machine learning and cloud technologies to develop the best AI inference for self-driving vehicle and advanced driver safety engineers. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to deploy your AI software to the billions of devices we ship to customers every year. You will join our newly formed AI Solutions global research and development organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is room for you to help us grow the team while remaining small. Our key locations are the Tokyo, London, Dusseldorf, and Ho Chi Minh City metro areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key location hubs such as Tokyo. Responsibilities: Continuously improve and redesign hardware and software architectures across our AI and cloud technology and tools. Collaborate with research engineers, software engineers and technical program managers to optimize performance both on-device and through our cloud-based tools. Collaborate with compiler engineers to improve our AI compiler. Plan with research engineers to incorporate new technologies or approaches into our technology and tools Support with mid-term technology planning and road mapping, and provide expert advice to customers when needed Qualifications Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language 5 years of experience in hardware device architecture, cloud based software architecture or software tools. Familiar with concepts of hardware acceleration Familiar with concepts of distributed/parallel programming. Additional Information Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at . Renesas' mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .
May 01, 2024
Full time
Job Description We are looking for an Architect to join our AI research and development team to research, develop and launch the next generation of AI inference software and tools, on both scalable cloud infrastructure and optimized device platforms. You will need to judge priorities and develop novel designs across our technology, tools and partners to meet product and customer milestones. Our mission is to use the latest machine learning and cloud technologies to develop the best AI inference for self-driving vehicle and advanced driver safety engineers. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to deploy your AI software to the billions of devices we ship to customers every year. You will join our newly formed AI Solutions global research and development organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is room for you to help us grow the team while remaining small. Our key locations are the Tokyo, London, Dusseldorf, and Ho Chi Minh City metro areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key location hubs such as Tokyo. Responsibilities: Continuously improve and redesign hardware and software architectures across our AI and cloud technology and tools. Collaborate with research engineers, software engineers and technical program managers to optimize performance both on-device and through our cloud-based tools. Collaborate with compiler engineers to improve our AI compiler. Plan with research engineers to incorporate new technologies or approaches into our technology and tools Support with mid-term technology planning and road mapping, and provide expert advice to customers when needed Qualifications Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language 5 years of experience in hardware device architecture, cloud based software architecture or software tools. Familiar with concepts of hardware acceleration Familiar with concepts of distributed/parallel programming. Additional Information Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at . Renesas' mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .
Are you inspired by unique and challenging problems to solve? Do you to have a hyper focus on your customer(s) and like to devise innovative approaches that transform their daily experiences? Amazon is looking for a talented Senior Data Scientist to join our Decision Science and Technology team. Key job responsibilities As a Senior Data Scientist in DST, you are proficient in designing and developing advanced science-based solutions to solve diverse customer problems and support a better and safer workplace. The Senior Data Scientist will be working with data, text, images, and other types of data to solve real-world problems through state-of-the-art approaches. They will leverage data science techniques and work closely with Data Engineers and Program Managers to facilitate the integration of data and information from varied source systems, so as to curate, expand, and maintain comprehensive maintenance knowledge bases. They will be working closely with Reliability Maintenance Engineering customers and with other scientists on the team to design and research strategies to integrate domain-specific knowledge and data into existing models and solutions, to provide relevant insights to business stakeholders. They will collaborate with cross-functional teams to develop new approaches making a difference in the daily lives of our customers. They will assess the performance of such approaches and contribute to experimental solutions that efficiently root cause maintenance issues or failures. They will stay at the forefront of advancements in data science and knowledge engineering through proactive participation in researching science and artificial intelligence based solutions. About the team The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences. Our work is articulated around three main programs and their respective goals: SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning. SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity. KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way. We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience working as a Data Scientist - Experience with knowledge engineering, and transforming data into meaningful information and knowledge - Focus in Natural Language processing (NLP), Machine Learning and Semantic Web/Ontology/knowledge graph PREFERRED QUALIFICATIONS - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).
May 01, 2024
Full time
Are you inspired by unique and challenging problems to solve? Do you to have a hyper focus on your customer(s) and like to devise innovative approaches that transform their daily experiences? Amazon is looking for a talented Senior Data Scientist to join our Decision Science and Technology team. Key job responsibilities As a Senior Data Scientist in DST, you are proficient in designing and developing advanced science-based solutions to solve diverse customer problems and support a better and safer workplace. The Senior Data Scientist will be working with data, text, images, and other types of data to solve real-world problems through state-of-the-art approaches. They will leverage data science techniques and work closely with Data Engineers and Program Managers to facilitate the integration of data and information from varied source systems, so as to curate, expand, and maintain comprehensive maintenance knowledge bases. They will be working closely with Reliability Maintenance Engineering customers and with other scientists on the team to design and research strategies to integrate domain-specific knowledge and data into existing models and solutions, to provide relevant insights to business stakeholders. They will collaborate with cross-functional teams to develop new approaches making a difference in the daily lives of our customers. They will assess the performance of such approaches and contribute to experimental solutions that efficiently root cause maintenance issues or failures. They will stay at the forefront of advancements in data science and knowledge engineering through proactive participation in researching science and artificial intelligence based solutions. About the team The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences. Our work is articulated around three main programs and their respective goals: SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning. SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity. KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way. We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience working as a Data Scientist - Experience with knowledge engineering, and transforming data into meaningful information and knowledge - Focus in Natural Language processing (NLP), Machine Learning and Semantic Web/Ontology/knowledge graph PREFERRED QUALIFICATIONS - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).
WHO WE ARE Quanteam Group is a Consulting firm specialised in the Capital Markets industry, in Paris, London, Brussels, New York and North Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organisational Transformation & Process Improvement. IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Softwares (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation. As part of Quanteam Group, Quanteam UK (incorporated in 2010) has today more than 80 consultants, working for major Financial Markets firms in London. ROLE DESCRIPTION Equity Derivatives Quants (a division of Global Banking and Markets) are looking for a C++/Python developer specialising in Structured Equity Derivatives. The candidate will be expected to: Assist the design and implementation of pricing, risk and P&L infrastructure surrounding the core pricing library Assist the Quantitative Modellers to develop the core pricing library Develop the Quantiative tooling required to support the platform The role will cover the following agendas: Delivery of the calculation infrastructure required for FRTB IMA regulatatory reporting Design and development of end-of-day risk and P&L calculations allowing the retirement of the legacy vendor platform Design and development of intraday risk and P&L calculations Design and development of market data marking pipelines The candidate should expect to have day-to-day interactions with the trading desk, other quants, the Risk and Finance departments, and technology teams. While the role is London based, the team and clients are located globally with presence in London, Paris, Hong Kong and Bangalore. Occasional travel may be required.
May 01, 2024
Full time
WHO WE ARE Quanteam Group is a Consulting firm specialised in the Capital Markets industry, in Paris, London, Brussels, New York and North Africa. Since 2007, our 800 consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation. The firm mainly takes part in: Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organisational Transformation & Process Improvement. IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Softwares (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation. As part of Quanteam Group, Quanteam UK (incorporated in 2010) has today more than 80 consultants, working for major Financial Markets firms in London. ROLE DESCRIPTION Equity Derivatives Quants (a division of Global Banking and Markets) are looking for a C++/Python developer specialising in Structured Equity Derivatives. The candidate will be expected to: Assist the design and implementation of pricing, risk and P&L infrastructure surrounding the core pricing library Assist the Quantitative Modellers to develop the core pricing library Develop the Quantiative tooling required to support the platform The role will cover the following agendas: Delivery of the calculation infrastructure required for FRTB IMA regulatatory reporting Design and development of end-of-day risk and P&L calculations allowing the retirement of the legacy vendor platform Design and development of intraday risk and P&L calculations Design and development of market data marking pipelines The candidate should expect to have day-to-day interactions with the trading desk, other quants, the Risk and Finance departments, and technology teams. While the role is London based, the team and clients are located globally with presence in London, Paris, Hong Kong and Bangalore. Occasional travel may be required.
The Role Portfolio Management is responsible for all of this fund's optimisation and allocation research along with monitoring fund performance and reviewing the quant process. As manager of the PM Tech team, you will be responsible for the simulation, analytics, and reporting infrastructure; for monitoring gearing, allocations and implementation shortfall; along with developing and supporting the production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. You will work with Quants and Engineers across the firm and Technology to make this possible. It's a very collaborative role, requiring linking together much of the platform into a consistent high-level view. The role will report into the Co-Head of Front-Office Engineering. Looking for an agile and hands-on technology manager with excellent engineering skills, good financial markets experience, and a good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
The Role Portfolio Management is responsible for all of this fund's optimisation and allocation research along with monitoring fund performance and reviewing the quant process. As manager of the PM Tech team, you will be responsible for the simulation, analytics, and reporting infrastructure; for monitoring gearing, allocations and implementation shortfall; along with developing and supporting the production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. You will work with Quants and Engineers across the firm and Technology to make this possible. It's a very collaborative role, requiring linking together much of the platform into a consistent high-level view. The role will report into the Co-Head of Front-Office Engineering. Looking for an agile and hands-on technology manager with excellent engineering skills, good financial markets experience, and a good working knowledge of statistics. The Technology Systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
My client is an award-winning multi-strategy hedge fund, and their Electronic Trade Engineering (ETE) team sits at the nexus of investment professionals and global markets, working closely with traders and portfolio managers to automate and optimize the execution of trades. Their aim is to build a unified, best-in-class trading technology platform that can scale with the diversity and volume of the markets and provide a competitive edge when attacking new commercial opportunities. Opportunity: Core Trading Platform Developer ETE builds and maintains a core trading platform that allows fund-aligned teams to develop business applications and workflows in a high-performance, reliable, scalable distributed architecture. In this role, you will: Architect, develop, deploy, and operate new and existing components of the trading system Propose designs to continuously improve performance, functionality, and stability of the system Exercise sound software engineering judgment, charting a path amongst tactical and strategic tradeoffs to satisfy short- and long-term commercial goals. Facilitate communication and collaboration with business users, compliance officers, and peer technology teams Required Qualifications: Solid computer science fundamentals Expert C++ or Java development skills Strong network and multithreaded programming skills Practical knowledge of some message-oriented middleware (e.g., Kafka, Solace, LBM, Tib/RV, etc.) Proven track record in software design and development Excellent analysis / problem solving skills Strong communication and teamwork skills Ability to manage multiple tasks in a demanding and dynamic environment Demonstrable interest in financial topics and a clear desire and motivation to learn more Minimum of a Bachelor's degree in Computer Science or a related STEM discipline Preferred Qualifications: Electronic trading and execution strategies expertise Prior experience developing trading systems Python scripting experience Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
My client is an award-winning multi-strategy hedge fund, and their Electronic Trade Engineering (ETE) team sits at the nexus of investment professionals and global markets, working closely with traders and portfolio managers to automate and optimize the execution of trades. Their aim is to build a unified, best-in-class trading technology platform that can scale with the diversity and volume of the markets and provide a competitive edge when attacking new commercial opportunities. Opportunity: Core Trading Platform Developer ETE builds and maintains a core trading platform that allows fund-aligned teams to develop business applications and workflows in a high-performance, reliable, scalable distributed architecture. In this role, you will: Architect, develop, deploy, and operate new and existing components of the trading system Propose designs to continuously improve performance, functionality, and stability of the system Exercise sound software engineering judgment, charting a path amongst tactical and strategic tradeoffs to satisfy short- and long-term commercial goals. Facilitate communication and collaboration with business users, compliance officers, and peer technology teams Required Qualifications: Solid computer science fundamentals Expert C++ or Java development skills Strong network and multithreaded programming skills Practical knowledge of some message-oriented middleware (e.g., Kafka, Solace, LBM, Tib/RV, etc.) Proven track record in software design and development Excellent analysis / problem solving skills Strong communication and teamwork skills Ability to manage multiple tasks in a demanding and dynamic environment Demonstrable interest in financial topics and a clear desire and motivation to learn more Minimum of a Bachelor's degree in Computer Science or a related STEM discipline Preferred Qualifications: Electronic trading and execution strategies expertise Prior experience developing trading systems Python scripting experience Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high-growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We'll broaden your horizons Our Advisory team provide a wide variety of services that deliver value-led advice and outcomes. They have an in-depth knowledge of business, industry sectors and markets and understand the constantly changing risks and opportunities at the heart of affairs. The team work across strategy, operations and improvement as well as at a transactional and defined project level. From technology to risk advisory, they're experts in following through on top-level instructions and resolving the finer details - all in one straight-forward package. When you join them, you'll work on some of the world's most exciting financial operations and business deals, building your experience and expertise alongside the brightest minds in the industry We'll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You'll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO's partners to help businesses effectively. You'll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. You'll be joining our team of experts within the Quantitative Risk and Valuations Advisory, and you will be responsible for managing a dedicated portfolio. This role will focus on retail and corporate credit risk provided expert advice in scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards. Our team is work together in collaboration to deliver a variety of assignment and you'll work closely supporting Directors and Partners. You'll also help to further grow the offering contributing towards marketing and business development initiatives. You'll be someone with Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas. Significant credit risk experience gained ideally from a major financial institution, another professional services firm, or a credit ratings agency. Valuation experience will be an advantage. An interest in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. A master's degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Desirable previous credit risk modelling experience or the building and / or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. We can provide the best support for our clients and people when we're working side by side. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for our clients and satisfying experiences at work, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in them. Across 17 UK locations, we are 6,500 unique minds coming together to help our clients reach their ambitions. We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.
May 01, 2024
Full time
Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high-growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We'll broaden your horizons Our Advisory team provide a wide variety of services that deliver value-led advice and outcomes. They have an in-depth knowledge of business, industry sectors and markets and understand the constantly changing risks and opportunities at the heart of affairs. The team work across strategy, operations and improvement as well as at a transactional and defined project level. From technology to risk advisory, they're experts in following through on top-level instructions and resolving the finer details - all in one straight-forward package. When you join them, you'll work on some of the world's most exciting financial operations and business deals, building your experience and expertise alongside the brightest minds in the industry We'll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You'll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO's partners to help businesses effectively. You'll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. You'll be joining our team of experts within the Quantitative Risk and Valuations Advisory, and you will be responsible for managing a dedicated portfolio. This role will focus on retail and corporate credit risk provided expert advice in scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards. Our team is work together in collaboration to deliver a variety of assignment and you'll work closely supporting Directors and Partners. You'll also help to further grow the offering contributing towards marketing and business development initiatives. You'll be someone with Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas. Significant credit risk experience gained ideally from a major financial institution, another professional services firm, or a credit ratings agency. Valuation experience will be an advantage. An interest in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. A master's degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Desirable previous credit risk modelling experience or the building and / or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. We can provide the best support for our clients and people when we're working side by side. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for our clients and satisfying experiences at work, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in them. Across 17 UK locations, we are 6,500 unique minds coming together to help our clients reach their ambitions. We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
We are looking for senior product engineer with asp.net experience. Enricher is seeking a Senior Product Engineer to join our dynamic and growing team. As a Senior Product Engineer, you will be responsible for designing and developing new features and functionality for our data enrichment software. You will work closely with cross-functional teams, including product managers, designers, and customer success teams, to bring cutting-edge solutions to market that help our customers unlock the full potential of their data. Key Responsibilities: Design, develop, and maintain scalable, high-quality software solutions for our data enrichment platform Collaborate with cross-functional teams to define and prioritize new features and enhancements Develop and maintain technical documentation and contribute to the development of best practices and standards Troubleshoot and resolve technical issues to ensure high availability and performance of the platform Mentor and provide guidance to junior engineers Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field At least 7 years of experience in software development, with a strong focus on building and maintaining scalable, high-performance software systems Expertise in at least one modern programming language (e.g. Java, Python, C++, etc.) Strong experience with data structures, algorithms, and software design patterns Experience with cloud technologies (e.g. AWS, Azure, Google Cloud, etc.) and microservice architecture Strong collaboration skills and a proven ability to work effectively in cross-functional teams Excellent written and verbal communication skills If you're a talented and motivated engineer who's passionate about building cutting-edge software solutions, we encourage you to apply today! Apply now Thank you! Your submission has been received! Oops! Something went wrong while submitting the form. Real-time data enrichment Get fuller context on every company and contact that your company cares about to drive insights, conversion, and wins at scale. Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.
May 01, 2024
Full time
We are looking for senior product engineer with asp.net experience. Enricher is seeking a Senior Product Engineer to join our dynamic and growing team. As a Senior Product Engineer, you will be responsible for designing and developing new features and functionality for our data enrichment software. You will work closely with cross-functional teams, including product managers, designers, and customer success teams, to bring cutting-edge solutions to market that help our customers unlock the full potential of their data. Key Responsibilities: Design, develop, and maintain scalable, high-quality software solutions for our data enrichment platform Collaborate with cross-functional teams to define and prioritize new features and enhancements Develop and maintain technical documentation and contribute to the development of best practices and standards Troubleshoot and resolve technical issues to ensure high availability and performance of the platform Mentor and provide guidance to junior engineers Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field At least 7 years of experience in software development, with a strong focus on building and maintaining scalable, high-performance software systems Expertise in at least one modern programming language (e.g. Java, Python, C++, etc.) Strong experience with data structures, algorithms, and software design patterns Experience with cloud technologies (e.g. AWS, Azure, Google Cloud, etc.) and microservice architecture Strong collaboration skills and a proven ability to work effectively in cross-functional teams Excellent written and verbal communication skills If you're a talented and motivated engineer who's passionate about building cutting-edge software solutions, we encourage you to apply today! Apply now Thank you! Your submission has been received! Oops! Something went wrong while submitting the form. Real-time data enrichment Get fuller context on every company and contact that your company cares about to drive insights, conversion, and wins at scale. Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.
Senior Software Engineer, FTA UK page is loaded Senior Software Engineer, FTA UK Apply locations London, Warwick Court time type Full time posted on Posted 3 Days Ago job requisition id 69670 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premierassetmanagerfocused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T Rowe Price Fixed Income Front Office technology team is looking for an accomplished Senior Software Engineer/Developer in building a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. More specifically, this role is within the Fixed Income and Data & Analytics Engineering team who sit at a strategic point within Front Office Technology, providing core data services to the Portfolio Management tools that are pivotal to the success of T Rowe Price. The team hire and develop talented Software Engineers, working in Python and JavaScript, to build robust and scalable software hosted in AWS. They are looking for experienced Software Engineers to join the global team, with either Python experience or strong experience in one or more OO languages, to work on transformational projects that will help grow the Fixed Income business. Knowledge of the financial domain is nice to have however for candidates with a strong desire to learn the team will provide support via their experienced Engineers and Business Analysts. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach; working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Role Responsibilities Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law. Similar Jobs (5) Senior Software Engineer, Python - ESG locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software/DevOps Engineer (fixed term for 12 months) locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software Engineer locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.
May 01, 2024
Full time
Senior Software Engineer, FTA UK page is loaded Senior Software Engineer, FTA UK Apply locations London, Warwick Court time type Full time posted on Posted 3 Days Ago job requisition id 69670 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premierassetmanagerfocused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. The T Rowe Price Fixed Income Front Office technology team is looking for an accomplished Senior Software Engineer/Developer in building a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. More specifically, this role is within the Fixed Income and Data & Analytics Engineering team who sit at a strategic point within Front Office Technology, providing core data services to the Portfolio Management tools that are pivotal to the success of T Rowe Price. The team hire and develop talented Software Engineers, working in Python and JavaScript, to build robust and scalable software hosted in AWS. They are looking for experienced Software Engineers to join the global team, with either Python experience or strong experience in one or more OO languages, to work on transformational projects that will help grow the Fixed Income business. Knowledge of the financial domain is nice to have however for candidates with a strong desire to learn the team will provide support via their experienced Engineers and Business Analysts. This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle - from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people. We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that's how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment. Our firm has made a significant investment in the future of our technology and data. We have a big vision of what we can achieve and have ambitious plans to get there. We hold collaboration as a core tenet of how we accomplish our goals. Are you interested in a team-oriented approach; working alongside curious and enthusiastic learners? We are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply! Role Responsibilities Innovate, design and deliver in terms of high reliability, scalability and extensibility Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value Deliver within a team and as an individual developer Demonstrate master hands-on capability to drive components to delivery Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact Business and Analytical Skills Shows willingness to take on the complexities of the domain - Portfolio Management, Quantitative Research, Risk, etc. Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants Balances strategic and pragmatic concerns when solving problems Makes decisions that are cognizant of the firm's broader business strategy Technical Skills Conversant in multiple technologies and learns new technologies quickly Demonstrates deep experience in automated testing and techniques Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices Experienced in several styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers. Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code Preferred qualifications: Computer Science, Math or Financial Engineering degree Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law. Similar Jobs (5) Senior Software Engineer, Python - ESG locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software/DevOps Engineer (fixed term for 12 months) locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago Senior Software Engineer locations London, Warwick Court time type Full time posted on Posted 30+ Days Ago T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The Data Office team at T. Rowe Price is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across our business. We will expect you to be agile and to think outside the box. In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform. You will be responsible for: Contributing to the platform's architectural design Development and testing of the integration, modelling, data persistence and querying tools and analytical systems Data pipeline implementation, maintenance and testing Metadata management processes and tools Monitoring the overall performance and stability of the pipelines Implementing data curation, metadata management and data quality tooling Engaging with our business and technology partners to ensure that the platform fully meets the firm's needs Preferred Technical experience/skills 4+ years of experience working as a Java/Python developer. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets T. Rowe Price operates a hybrid working model with 2 days a week expected in the London Office. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
May 01, 2024
Full time
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The Data Office team at T. Rowe Price is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across our business. We will expect you to be agile and to think outside the box. In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform. You will be responsible for: Contributing to the platform's architectural design Development and testing of the integration, modelling, data persistence and querying tools and analytical systems Data pipeline implementation, maintenance and testing Metadata management processes and tools Monitoring the overall performance and stability of the pipelines Implementing data curation, metadata management and data quality tooling Engaging with our business and technology partners to ensure that the platform fully meets the firm's needs Preferred Technical experience/skills 4+ years of experience working as a Java/Python developer. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets T. Rowe Price operates a hybrid working model with 2 days a week expected in the London Office. Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The Data Office team at T. Rowe Price is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across our business. We will expect you to be agile and to think outside the box. In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform. You will be responsible for : Contributing to the platform's architectural design Development and testing of the integration, modelling, data persistence and querying tools and analytical systems Data pipeline implementation, maintenance and testing Metadata management processes and tools Monitoring the overall performance and stability of the pipelines Implementing data curation, metadata management and data quality tooling Engaging with our business and technology partners to ensure that the platform fully meets the firm's needs Preferred Technical experience/skills 10+ years of experience working as a Python/Java developer. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets Lead Skills Proven experience of leading small to mid-size team of engineers. Responsible for growth, learning and mentorship of the team. Experience in managing short and long term product / requirement roadmaps. Experience with Agile Scrum model would be a plus. Commitment to Diversity, Equity, and Inclusion : We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.
May 01, 2024
Full time
There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us. Overview The Data Office team at T. Rowe Price is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across our business. We will expect you to be agile and to think outside the box. In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform. You will be responsible for : Contributing to the platform's architectural design Development and testing of the integration, modelling, data persistence and querying tools and analytical systems Data pipeline implementation, maintenance and testing Metadata management processes and tools Monitoring the overall performance and stability of the pipelines Implementing data curation, metadata management and data quality tooling Engaging with our business and technology partners to ensure that the platform fully meets the firm's needs Preferred Technical experience/skills 10+ years of experience working as a Python/Java developer. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets Lead Skills Proven experience of leading small to mid-size team of engineers. Responsible for growth, learning and mentorship of the team. Experience in managing short and long term product / requirement roadmaps. Experience with Agile Scrum model would be a plus. Commitment to Diversity, Equity, and Inclusion : We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, colour, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.