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Quantitative Developer: Python, Time Series & Risk Automation

Open 17d

Summary

Builds financial data models and risk automation tools in Python for a trading-focused team in New York.

Selby Jennings is seeking a Quantitative Developer for its New York office. The candidate will contribute to financial data modeling, exposure to macro products, and hands-on Python programming with strong analytical abilities.

Key responsibilities include building market data models, supporting the front office with quantitative methods, and automating risk management tooling to improve trading risk appetite.

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