Quantitative Software Developer

Building components for both live trading and simulation Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards Maintaining and updating the platform, ensuring its stability, robustness, and security Developing robust data checking and storage procedures Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

Requirements

• Bachelor’s degree or higher in computer science or other STEM discipline
• Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
• Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
• Proficiency with Linux
• Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
• Proficiency with C/C++ is a plus
• Experience with designing and implementing trading systems is a plus
• Commitment to the highest ethical standards

Apply on Point72's site