6 months ago
Responsibilities
- Build components for live trading and simulation.
- Refine and increase the automation and robustness of research infrastructure, including alpha estimation, risk modeling, and backtesting components.
- Build tools for signal blending, simulation, portfolio construction, the research framework, and dashboards.
- Maintain and update the platform to ensure stability, robustness, and security.
- Develop robust data-checking and storage procedures.
- Troubleshoot and resolve systems-related issues and release code fixes and enhancements.
Requirements
- Bachelor’s degree or higher in computer science or another STEM discipline.
- Advanced proficiency in Python and its ecosystem, including NumPy, pandas, Polars, and scikit-learn, with an understanding of Python and library internals.
- Experience contributing to core Python numerical libraries such as NumPy, TensorFlow, PyTorch, or JAX is a plus.
- Proficiency with Linux.
- Hands-on experience with software architecture and engineering best practices, including testing, CI/CD, monitoring, profiling, and version control.
- Strong quantitative and analytical skills; knowledge of linear algebra, statistics, and machine learning is helpful.
- Proficiency with C or C++ is a plus.
- Experience designing and implementing trading systems is a plus.
- Commitment to the highest ethical standards.
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.