Senior Quant Developer – Python / SQL

About the role

Develop, enhance, and support quantitative applications and financial models using Python, and write complex SQL queries to process, analyze, and validate financial data. Collaborate with research, trading, risk, and technology teams to optimize workflows, ensure reliable outputs, troubleshoot production issues, and contribute to design, reviews, testing, and implementation. Requires 15 or more years of professional experience, strong hands-on quantitative development experience, advanced Python skills, and strong SQL skills with complex financial datasets. Candidates should have investment banking or capital markets experience and familiarity with quantitative models, financial analytics, or risk applications; onsite work in New York three days per week and a face-to-face interview are required.