Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.
Requirements
- Strong programming experience in Python with production-level coding quality
- Experience with Unix environment and shell scripting
- Experience with cloud computing, ideally AWS and Databricks
- Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
- Knowledge of version control (Git) and software CI/CD tools and lifecycle
- Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
- Knowledge of statistics and machine learning is a plus
Responsibilities
- Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
- Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
- Improving research and trading tools and infrastructure
Other
- Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
- Willing to take ownership of his/her work, working both independently and within a small team
- Prior experience in the financial services industry is not required
- Commitment to the highest ethical standards
