Quantitative Research Intern (NLP)

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:

Additional Information

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

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