Executive Director - Quantitative Research Principal Software Engineer

About the role

Develop and maintain production-quality derivatives pricing models, risk analytics, and quantitative tools on the Athena Python platform, supporting investment and risk management across rates, credit, and equities. Partner with portfolio managers, traders, and technology leaders to improve trade lifecycle capabilities and establish reusable, secure AI-enabled engineering workflows. Requires 10 or more years of applied software engineering experience, an advanced degree in a quantitative discipline, and strong expertise in derivatives, pricing, risk, stochastic calculus, probability, and numerical methods. Candidates must have production-level Python and quant development experience, a record of working with front-office stakeholders, and strong communication skills; Athena experience and Java, C++, or C# are preferred.