Quantitative Engineer – Risk Analytics

About the role

Develop, implement, test, and monitor production-quality financial risk models and analytics across a cloud-based, multi-asset portfolio risk system. Expand the system’s coverage and capabilities, deliver client-facing capital markets projects and model validation, and communicate results and assumptions to clients and stakeholders. A higher university degree in a quantitative discipline and at least three years of Python coding experience are required, along with experience in quantitative model development, testing, and documentation. Candidates should understand financial markets, statistical and econometric modeling, and SQL or NoSQL datastores; experience with AI coding tools, agentic applications, and CCP risk models is advantageous.