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Hybrid Quant Finance Developer — Python & Derivatives

Open 17d

Summary

Builds and implements financial models and analytics systems in Python to support trading and risk management in capital markets.

Jay Analytix INC. is seeking a skilled Quantitative Developer based in Jersey City, NJ. This hybrid role focuses on building and implementing financial models and analytics systems to support trading and risk management.

The ideal candidate will have at least 7 years of quantitative development experience and a strong background in capital markets. Proficiency in Python and a deep understanding of pricing models and risk metrics are essential.

This position offers a collaborative environment bridging finance and technology.

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