Python Quant Engineer — Where Research Becomes Alpha | AI-Native Systematic Trading

About the role

Build high-performance research, backtesting, and data infrastructure for large-scale market data, parallel simulations, and model training and serving. Develop and productionize accelerated compute kernels and ML-assisted research workflows, partnering with quants and portfolio managers to deliver reliable trading tools. The role calls for strong Python engineering experience, including a record of improving performance, and experience with large-scale data, ML infrastructure, or quantitative research platforms. Candidates should be comfortable using Rust or C++ when needed, have strong computer science fundamentals, hold a degree in a quantitative field, and approach research as a systems problem.