Python Developer / Quant Analytics (Market Risk)

About the role

Develop Python-based analytical solutions for quantitative and market risk use cases, including pricing, risk, trade, and financial modeling analytics. Build and optimize scalable data pipelines for high-volume financial datasets, supporting complex calculations and aggregations across potentially billions of records. Candidates should have strong hands-on Python development experience and the ability to solve complex quantitative problems using large-scale financial data. Market risk or capital markets experience, knowledge of P&L calculations and risk metrics, and familiarity with distributed or grid computing are advantageous; strong communication and problem-solving skills are also expected.