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Selby Jennings
Singapore, SINGAPORE
(on-site)
Job Function
Financial Services
Python Quant Dev
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Python Quant Dev
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Python Quant DeveloperWe are partnering with a leading investment firm in Singapore seeking a Python Quant Developer to join a front-office quantitative technology team. This role will focus on the development, enhancement, and support of derivatives valuation libraries and quantitative tools used by investment professionals across multiple asset classes.
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.
Job ID: 85324001
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