Executive Director - Quantitative Research Principal Software Engineer

What you'll do

• Build pricing models, risk analytics, and quantitative tools for derivatives across rates, credit, and equities.
• Develop and maintain Athena analytics and reusable software frameworks, with robust testing, documentation, and production delivery.
• Partner with business stakeholders to support workflows, resolve analytics issues, and improve derivatives trade lifecycle capabilities; govern AI-enabled engineering workflows with appropriate guardrails.

What they ask for

• Formal training or certification in software engineering concepts and 10+ years of applied experience.
• Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Engineering, Quantitative/Financial Engineering, or Computer Science.
• Strong quantitative background and proven derivatives experience in one or more asset classes, with knowledge of pricing, risk, option pricing theory, stochastic calculus, probability, and numerical methods.
• Strong Python and quant development skills, production delivery experience, and a track record collaborating with quants, traders, or portfolio managers.

Nice to have

• Experience with JPMorganChase Athena or comparable platforms such as Quartz or Beacon; working knowledge of Java, C++, or C#.
• Prior front-office quantitative research or trading experience; familiarity with the derivatives trade lifecycle across multiple asset classes.

Pay

USD 204,250.00-$285,000.00 base salary

Tools

Python, Athena, Quartz, Beacon, Java, C++, C#

AI focus

Architects and governs agentic AI-enabled engineering workflows using enterprise-authorized tools for PR review assistance, test generation and maintenance, release readiness, incident triage, and root-cause acceleration; defines validation, security, resiliency, and reuse guardrails.