About this role

JOB RESPONSIBILITIES

A highly collaborative, fast-growing team, 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.

You will gain exposure to a variety of activities, which may include:

- Developing automated equities trading applications and real-time analytics

- Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases

- Work alongside quant researchers developing quant signals.

- Improving signal research and trading tools infrastructure

DESIRABLE CANDIDATES

- Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline

- 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm

- Strong programming experience in Python with production-level coding quality

- Experience with containerization and orchestration technologies, particularly Docker

- Experience with Unix environment and shell scripting

- Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus

- Knowledge of statistics and machine learning is a plus

- Willing to take ownership of his/her work, working both independently and within a small team

- Prior experience in the financial services industry is a plus

- Commitment to the highest ethical standards