Python Quant Dev
Python Quant Developer
Key Responsibilities
- Develop, maintain, and enhance Python-based derivatives valuation libraries and quantitative analytics platforms.
- Translate quantitative models and prototype code into robust, production-grade applications.
- Work closely with portfolio managers and quantitative teams to deliver valuation, pricing, and risk management tools.
- Design and implement testing frameworks covering unit, integration, performance, and quality testing.
- Build monitoring, reporting, and alerting capabilities to improve system reliability and support production environments.
- Contribute to the ongoing evolution of analytics and valuation infrastructure across rates, FX, equities, and other asset classes.
Requirements
- 2+ years of experience as a Quant Developer, Financial Engineer, Quantitative Analyst, or similar role supporting quantitative investment teams.
- Strong Python development skills with experience building and maintaining production-grade systems.
- Hands-on experience with derivatives valuation libraries, pricing models, or quantitative analytics frameworks is highly preferred.
- Good understanding of derivatives valuation workflows and financial markets.
- Experience working alongside quantitative researchers, portfolio managers, or trading teams is advantageous.
- Degree in Computer Science, Engineering, Mathematics, Physics, Quantitative Finance, or a related field preferred.
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