Lead Data Scientist - Fixed Income and Investment Banking

Top financial services focussed AI firm are looking to hire an Executive Director for their AI Data Science team, based in New York. This individual will lead the design and execution of high-impact AI and data science initiatives across the firms fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function.

You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.

You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and s role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.

• 10+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance
• Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis
• Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives
• Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function
• Hands‑on technical depth in Python (or R), cloud‑based platforms, and modern ML frameworks
• Experience mentoring or leading small, high‑performing teams
• Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline

This is an on‑site position based in New York, NY.

Compensation and benefits are highly competitive and contingent on experience.