2 days ago
Responsibilities
- Improve signal research and trading-tool infrastructure.
- Optimize data ETL pipelines, persistent and in-memory caches, and SQL databases.
- Work with quantitative researchers to develop quantitative trading signals.
- Develop automated equities trading applications and real-time analytics.
- Collaborate effectively within a small team while taking ownership of projects.
Requirements
- Be enrolled in or hold an undergraduate or higher degree in computer science, machine learning, or another quantitative discipline.
- Have strong Python programming experience with production-level coding quality.
- Have experience with containerization and orchestration technologies, particularly Docker.
- Have experience with Unix environments and shell scripting.
- Knowledge of profiling tools such as VisualVM or async-profiler is a plus.
- Knowledge of statistics and machine learning is a plus.
- Prior financial services industry experience is a plus.
- Demonstrate independence, collaboration, and commitment to high ethical standards.
Benefits
- Summer 2027 internship.
- Comprehensive, in-depth training and exposure to quantitative research and trading technology.
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.