C# Quantitative Developer - C#, Python, Java, C++, CI/CD, AWS, Kubernetes, Azure, Algorithms I am working closely with a top FinTech company based in Central London who are looking for a Quantitative Developer to join the Analytics team. As part of the Analytics team, you will be responsible for building out their new analytics libraries and platform, expanding product coverage and developing a full suite of tools to support efficient pricing, calculation of risk and behaviour analysis for large portfolios of instruments. Required Skills and Experience: Studies in a STEM subject, ideally to Masters or PhD level Excellent C#, Python, C++ or Java experience 2-3 years' experience working in a role as a quantitative developer Experience working with AWS and Kubernetes Experience with CI/CD tool-chains Knowledge of distributed systems and risk calculation would be valuable Familiarity with risk calculations, modelling and financial terminology and individual asset classes. Strong numerical literacy, particularly as regards algorithms, is also desirable. London/Hybrid Permanent By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
08/05/2024
Full time
C# Quantitative Developer - C#, Python, Java, C++, CI/CD, AWS, Kubernetes, Azure, Algorithms I am working closely with a top FinTech company based in Central London who are looking for a Quantitative Developer to join the Analytics team. As part of the Analytics team, you will be responsible for building out their new analytics libraries and platform, expanding product coverage and developing a full suite of tools to support efficient pricing, calculation of risk and behaviour analysis for large portfolios of instruments. Required Skills and Experience: Studies in a STEM subject, ideally to Masters or PhD level Excellent C#, Python, C++ or Java experience 2-3 years' experience working in a role as a quantitative developer Experience working with AWS and Kubernetes Experience with CI/CD tool-chains Knowledge of distributed systems and risk calculation would be valuable Familiarity with risk calculations, modelling and financial terminology and individual asset classes. Strong numerical literacy, particularly as regards algorithms, is also desirable. London/Hybrid Permanent By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS I am working with one of the world's leading Investment Banks which is looking for an eFX Lead Developer (Director level) to join their Information Systems Department who provide a complete range of state-of-the-art technology services and infrastructure to the global entities across the bank. In this role, you will be working to develop and maintain an automated trading application. You'll work closely with the Traders and Sales to build a low latency, high-performance eFX electronic trading system including Real Time Pricing, Risk, Price Distribution, Algo execution, and various electronic trading workflows. Embracing a hands-on approach and showcasing creativity in problem-solving and product development. Engaging in the development and support of Front Office Systems. Participating in the evaluation and endorsement of new technologies to enhance the Front Office Development team's value. Extracting, comprehending, and analysing functional requirements directly from the Front Office FX desk. Ensuring delivery aligns with agreed-upon requirements through an agile process, following ISD standards for Documentation, System Testing, User Acceptance testing, and Change Control. Maintaining open communication with technical architects within ISD to leverage reusable software for efficient time-to-market. Providing production support for implemented solutions, and handling incidents, problems, and defects. Cross-training other ISD members for solution support may require shifts or on-call duties beyond regular working hours. Designing, implementing, and delivering complex globally distributed high availability Real Time trading system. Key Skills: OO Language - C++/Java/Python/Rust/C# FX Financial Markets Low-Latency Market Data Multi-Threading No-SQL/SQL Unit Testing/TDD/Automated Testing This is a Full time position, offering a highly competitive salary, a strong benefits package, and a performance-related bonus. You will be required to travel to the office 3 days per week. If you think your skills and experience are a good fit for this position, I'd love to speak with you. Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS
08/05/2024
Full time
Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS I am working with one of the world's leading Investment Banks which is looking for an eFX Lead Developer (Director level) to join their Information Systems Department who provide a complete range of state-of-the-art technology services and infrastructure to the global entities across the bank. In this role, you will be working to develop and maintain an automated trading application. You'll work closely with the Traders and Sales to build a low latency, high-performance eFX electronic trading system including Real Time Pricing, Risk, Price Distribution, Algo execution, and various electronic trading workflows. Embracing a hands-on approach and showcasing creativity in problem-solving and product development. Engaging in the development and support of Front Office Systems. Participating in the evaluation and endorsement of new technologies to enhance the Front Office Development team's value. Extracting, comprehending, and analysing functional requirements directly from the Front Office FX desk. Ensuring delivery aligns with agreed-upon requirements through an agile process, following ISD standards for Documentation, System Testing, User Acceptance testing, and Change Control. Maintaining open communication with technical architects within ISD to leverage reusable software for efficient time-to-market. Providing production support for implemented solutions, and handling incidents, problems, and defects. Cross-training other ISD members for solution support may require shifts or on-call duties beyond regular working hours. Designing, implementing, and delivering complex globally distributed high availability Real Time trading system. Key Skills: OO Language - C++/Java/Python/Rust/C# FX Financial Markets Low-Latency Market Data Multi-Threading No-SQL/SQL Unit Testing/TDD/Automated Testing This is a Full time position, offering a highly competitive salary, a strong benefits package, and a performance-related bonus. You will be required to travel to the office 3 days per week. If you think your skills and experience are a good fit for this position, I'd love to speak with you. Director eFX Lead Developer - C++, Java, Python, FX, eFX Low-latency, Trading, Front Office, Linux, Unix, Multithreading, Agile, DevOps, Cloud, AWS
NO SPONSORSHIP Associate Principal, Software Engineering - QRM SALARY: $135k - $145k - $150kish plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite and 2 days remote SELLING POINTS: develops and maintains risk models for managing clearing fund and stress testing risk model software in production. AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Primary Duties and Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Certificates or Licenses:
08/05/2024
Full time
NO SPONSORSHIP Associate Principal, Software Engineering - QRM SALARY: $135k - $145k - $150kish plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite and 2 days remote SELLING POINTS: develops and maintains risk models for managing clearing fund and stress testing risk model software in production. AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Primary Duties and Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Certificates or Licenses:
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, Pytest, etc.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back testing, and monitoring.
07/05/2024
Full time
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, Pytest, etc.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back testing, and monitoring.