About the 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
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