Develops quantitative models for portfolio optimization, fixed income relative value, risk estimation, and AI agents for credit research and portfolio management at a fintech platform. Requires Python coding, quant background, and bachelor's/PhD in math-related field.
200k – 325k/yr
On-siteML Engineering
About the role
Responsibilities
Run 100K+ variable portfolio optimizations in seconds.
Develop machine learning models to estimate relative value and future outperformance in fixed income securities.
Develop risk models to estimate the tracking error between portfolios.
Build AI agents to automatically perform credit research, automatically build custom portfolios, and automate other core portfolio management tasks.
Requirements
Quant researcher or quant trader background (strong candidates from outside quant trading also considered).
Bachelor’s degree or PhD in Mathematics, Physics, Statistics, Economics, or Computer Science.
Production-grade code in Python.
Willing and able to figure stuff out independently.
Excited to work closely with customers (researcher also acts as own product manager).
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