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A leading hedge fund in London is looking for a Quantitative Developer to join a high-performing front-office technology and research team. This role sits between the software engineering and quant research teams, building the tools, models and infrastructure that drive trading and investment decisions across multiple asset classes.
Job Responsibility:
Partnering directly with quantitative researchers and traders to design, build, and optimise trading models and analytical systems
Developing robust, scalable software in Python, with opportunities to contribute to components in C++ or Rust
Working across the full lifecycle – from idea generation and prototyping to production deployment and performance tuning
Leveraging statistical methods, data analysis, and modern compute infrastructure to improve research and execution workflows
Requirements:
Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.)
Solid understanding of computer science fundamentals – algorithms, data structures, and software design
Experience within a quant, trading, or financial markets environment (hedge fund, prop desk, or similar) is ideal
Degree in Computer Science, Mathematics, Physics, or a related field from a top-tier university