Quantitative Developer (Fixed Income)

Stabile Search•New York, NY

9d•Hybrid

About The Position

My client is hiring a Quantitative Developer to join a small front-office analytics team at a leading fixed income asset manager in New York. The team owns the firm's analytics platform, the front-office system hosting quantitative models and numerical applications built both by the team itself and by the firm's researchers. This is far more than software development: the role spans quantitative development, data analytics, and application development. You'll build and maintain analytics infrastructure, develop desk tools, and productionize models coming out of quantitative research, including code review as the firm expands its quant hiring. Think of it as quant dev plus infrastructure: you're not just hosting your own models, you're the bridge that takes research-grade quantitative models into production. You'll report directly to the team lead on a tight-knit team, with high visibility to traders, researchers, and senior leadership. It's a rare seat combining hands-on engineering with real exposure to the investment side of the business.

Requirements

3-7 years of professional experience as a quantitative developer, analytics engineer, or in a similar role (flexible for the right candidate)
Strong Python skills
Comfort on a small team where you'll wear multiple hats across development, analytics, and infrastructure

Nice To Haves

C++ is a plus, used for computational speed on heavy simulations and evaluations
Experience with structured products (RMBS, ABS, CMBS, CLO) is a strong plus, but trainable if the technical skills are there
Training at a major bank or large asset manager is preferred
Master's degree is preferred