Senior Quantitative Engineer

Senior C++ Quantitative Engineer Client: Leading Global Financial Services Organisation Project: YieldBook Modernisation & Azure Migration Location: UK or US (Remote) Engagement: Contract | Multi‑hire Programme About Ascenteum Ascenteum is a specialist consultancy delivering high‑calibre engineering, data, and investment‑technology talent across North America, the UK, and Europe. We are recognised for our deep expertise in capital markets platforms, quant engineering, and large‑scale transformation programmes. Our teams support mission‑critical initiatives across IBOR/ABOR, analytics platforms, cloud modernisation, and enterprise data engineering. We have been engaged to support our client -a global financial services organisation -in modernising its YieldBook analytics platform, a core engine used for Fixed Income and securitized product analytics. This initiative requires senior‑level C++ Quant Engineers capable of refactoring complex analytics libraries and supporting a migration to Microsoft Azure. Role Overview Ascenteum is building a specialist team of Senior C++ Quantitative Engineers to contribute to the redesign, optimisation, and cloud‑enablement of the client’s analytics platform. This is a high‑impact role involving deep quantitative engineering, large‑scale codebase modernisation, and collaboration with Quant, Product, and Engineering teams. You will work on refactoring legacy C++ analytics libraries, improving performance, enhancing model accuracy, and supporting the transition to a modern Azure‑based architecture. This role is ideal for engineers who thrive in complex problem‑solving environments and have a strong background in Fixed Income or securitized product analytics. Key Responsibilities Core Engineering & Analytics ·      Refactor, modernise, and optimise a large‑scale C++ analytics codebase. ·      Enhance quantitative libraries supporting Fixed Income and securitized products. ·      Improve performance, memory efficiency, and computational throughput. ·      Contribute to Python‑based tooling, integration layers, and automation. Cloud & Platform Modernisation ·      Support the migration of analytics components to Azure cloud services. ·      Collaborate with platform engineers to ensure seamless deployment and integration. Data & Model Integrity ·      Validate analytics outputs, pricing models, and risk calculations. ·      Work closely with Quant teams to ensure model consistency and correctness. Engineering Excellence ·      Apply best practices in object‑oriented design, code quality, and documentation. ·      Participate in code reviews, architecture discussions, and design sessions. ·      Support CI/CD pipelines, automated testing, and Agile delivery processes. Required Skills & Experience Technical Expertise ·      15+ years of hands‑on C++ development (C++11/14/17 or later). ·      Strong object‑oriented programming and system design skills. ·      Experience working in Linux environments with shell scripting. ·      Proficiency in Python for tooling and integration. ·      Familiarity with GIT, CVS, and modern version‑control workflows. ·      Understanding of CI/CD/CT pipelines and Agile methodologies. Quantitative & Financial Domain ·      Strong understanding of financial analytics, ideally securitized products (MBS, ABS, CMOs, CLOs). ·      Experience with pricing, risk, or analytics libraries in any asset class. ·      Ability to solve complex quantitative and computational problems. Professional Attributes ·      Dedicated, goal‑oriented, and able to work independently. ·      Strong communication skills and ability to collaborate across global teams. ·      Comfortable working in a fast‑paced, engineering‑driven environment.