Quant Developer

• 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

• 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

bonus