Front Office Data & Analytics Application Engineer Location: Houston Sector: Trading, Data Science, Front Office Engineering Our client, a leading player in the global trading landscape, is seeking a Front Office Data & Analytics Application Engineer to join a high-performance team operating at the intersection of software innovation and commercial strategy. This opportunity is to work in a truly dynamic and data-rich environment, partnering directly with traders and research analysts. The role offers the chance to build cutting-edge applications in Real Time, underpinned by modern cloud technologies and sophisticated data engineering practices. The successful candidate will be a key contributor to the design and delivery of mission-critical analytics tools, components, and platforms. Core Responsibilities: Design and engineer microservices, frameworks, and applications tailored for the Front Office. Build robust cloud-native big data platforms and analytics pipelines. Develop and maintain time-sensitive data integration flows (ETL/ELT). Contribute to global infrastructure and shared services with a focus on scalability and performance. Apply software craftsmanship, domain-driven design, and agile delivery principles. Solve complex business problems with elegant and efficient technical solutions. Required Experience and Skills: 5+ years of software engineering experience in a data-driven environment. Proficiency in Java, React and Python with a strong foundation in object-oriented programming. Demonstrated expertise in test-driven development and modern SDLC practices. Solid experience with cloud ecosystems; AWS knowledge (S3, Redshift, Glue, Lambda) highly advantageous. Experience building Front End micro-apps or micro-views is a welcome asset. Bachelor's degree in Computer Science or a related technical discipline.
02/07/2025
Full time
Front Office Data & Analytics Application Engineer Location: Houston Sector: Trading, Data Science, Front Office Engineering Our client, a leading player in the global trading landscape, is seeking a Front Office Data & Analytics Application Engineer to join a high-performance team operating at the intersection of software innovation and commercial strategy. This opportunity is to work in a truly dynamic and data-rich environment, partnering directly with traders and research analysts. The role offers the chance to build cutting-edge applications in Real Time, underpinned by modern cloud technologies and sophisticated data engineering practices. The successful candidate will be a key contributor to the design and delivery of mission-critical analytics tools, components, and platforms. Core Responsibilities: Design and engineer microservices, frameworks, and applications tailored for the Front Office. Build robust cloud-native big data platforms and analytics pipelines. Develop and maintain time-sensitive data integration flows (ETL/ELT). Contribute to global infrastructure and shared services with a focus on scalability and performance. Apply software craftsmanship, domain-driven design, and agile delivery principles. Solve complex business problems with elegant and efficient technical solutions. Required Experience and Skills: 5+ years of software engineering experience in a data-driven environment. Proficiency in Java, React and Python with a strong foundation in object-oriented programming. Demonstrated expertise in test-driven development and modern SDLC practices. Solid experience with cloud ecosystems; AWS knowledge (S3, Redshift, Glue, Lambda) highly advantageous. Experience building Front End micro-apps or micro-views is a welcome asset. Bachelor's degree in Computer Science or a related technical discipline.
Senior Risk IT Developer - Commodity Trading - London - Full Time Permanent We're partnering with a global leader in commodity trading, to find an exceptional Senior Risk IT Developer for their Risk IT team. This is a rare opportunity to help architect a next-generation, cloud-native risk platform from the ground up, with a focus on speed, scale, and precision. Why this role stands out: Greenfield build. No Legacy constraints; full scope for innovation. High-impact team. A small, expert group delivering real results. Modern tech stack. Python, C++, ClickHouse, and Iceberg. Strategic scope. Shape how the client manages market risk across global portfolios. Real technical challenge. Real Time VaR, billions of rows, seconds to compute. What you'll bring: Strong engineering skills in Python, Java and C++. Solid understanding of market risk metrics (eg VaR). A problem-solving mindset and the drive to build from first principles.
02/07/2025
Full time
Senior Risk IT Developer - Commodity Trading - London - Full Time Permanent We're partnering with a global leader in commodity trading, to find an exceptional Senior Risk IT Developer for their Risk IT team. This is a rare opportunity to help architect a next-generation, cloud-native risk platform from the ground up, with a focus on speed, scale, and precision. Why this role stands out: Greenfield build. No Legacy constraints; full scope for innovation. High-impact team. A small, expert group delivering real results. Modern tech stack. Python, C++, ClickHouse, and Iceberg. Strategic scope. Shape how the client manages market risk across global portfolios. Real technical challenge. Real Time VaR, billions of rows, seconds to compute. What you'll bring: Strong engineering skills in Python, Java and C++. Solid understanding of market risk metrics (eg VaR). A problem-solving mindset and the drive to build from first principles.
