Quantitative Research Intern (NLP)

Benefits

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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About this role

Quantitative Research Intern (NLP) New York ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: - Using NLP to construct features from varied datasets - Formulating research hypotheses to derive alpha - Building and testing the performance of trading signals based on NLP and financial features - Launching identified signals into production REQUIREMENTS: - Bachelor's, Master's or PhD candidate in computer science or other quantitative discipline - Proficient in Python and general software engineering principles (github, testing, dev workflow) - Strong understanding of machine learning and statistics - Prior research experience preferred - Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred - Data science stack familiarity preferred - An interest in financial markets - Great attitude - A collaborative mindset - Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and

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