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Join a leading global hedge fund where quantitative research and technology sit at the core of investment strategy. As a Python Quantitative Developer, you'll work at the intersection of engineering and finance, partnering closely with Portfolio Managers and Quants to build models, tools, and infrastructure that directly drive trading decisions and P&L. This is a high-impact role within a world-class environment where technical precision and financial insight are equally valued.
Job Responsibility
Developing and enhancing Python-based quantitative research and trading platforms to support global investment strategies
Implementing and optimizing trading signals and models in close collaboration with Quant Researchers
Productionising models to ensure they are robust, scalable, and performant within live trading environments
Building sophisticated data pipelines, back-testing frameworks, and analytics tools to facilitate rapid research cycles
Improving the reliability of front-office systems that directly influence real-time P&L
Requirements
Strong commercial experience with Python in a quantitative, trading, or data-intensive environment
A solid understanding of financial markets and quantitative concepts, such as time series analysis, statistics, and risk
Proven track record of working closely with Quants or investment teams to translate research into production-ready code
A degree in a quantitative or technical discipline (Computer Science, Physics, Mathematics, etc.)
Exceptional problem-solving abilities and the capacity to thrive in an intellectually demanding, fast-paced setting