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:
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Developing automated equities trading applications and real-time analytics
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Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
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Work alongside quant researchers developing quant signals.
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Improving signal research and trading tools infrastructure
DESIRABLE CANDIDATES
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Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline
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5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm
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Strong programming experience in Python with production-level coding quality
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Experience with containerization and orchestration technologies, particularly Docker
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Experience with Unix environment and shell scripting
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Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus
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Knowledge of statistics and machine learning is a plus
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Willing to take ownership of his/her work, working both independently and within a small team
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Prior experience in the financial services industry is a plus
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Commitment to the highest ethical standards