Quantitative Research Intern (NLP)

Role and Responsibilities

We are seeking a Quant Research Intern to join the NLP Quant team at Point72. We believe significant advances in NLP methods show promise for finance. Our team develops and launches 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 another quantitative discipline
• Proficient in Python and general software engineering principles (GitHub, testing, development workflow)
• Strong understanding of machine learning and statistics
• Prior research experience preferred
• Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
• Familiarity with the data science stack preferred
• Interest in financial markets
• Great attitude
• 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 committing to our people’s long-term growth.