Quantitative Research Intern (NLP)

Point72 is recruiting for Quantitative Research Intern (NLP) in New York. This listing was last seen on the firm's own job board on August 22, 2026.

A multi-manager fund whose academy programmes are the clearest structured entry route on the buy side.

What sets Point72 apart: Academy programmes that take candidates with no prior finance experience. Discretionary and systematic sides hire on different criteria. Cubist is the systematic arm and runs its own quant process.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as Point72 describes it, published on May 31, 2025 and reproduced from their job board:

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)