Quantitative Developer, Risk Technology

About the role

Collaborate with risk quants and internal teams to develop and refine equity risk models, create quantitative risk and performance analytics, and translate business needs into technical solutions. Build scalable reporting and data-processing frameworks, and contribute to system design, code quality, and architecture across a shared codebase. Requires at least five years of programming experience in Python or another quantitative language, hands-on financial instrument modeling experience, and strong knowledge of equity factor models. Candidates should also have advanced SQL and data pipeline experience, strong computer science fundamentals, relevant technical training, and excellent communication and teamwork skills.