Quant jobs / Point72

Quantitative Research Intern (NLP)

An internship in a Point72 team that applies NLP to finance, building signals from raw data to production. Interns join a team that launches end-to-end text-based signals.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build features from text and other datasets using NLP
Frame research hypotheses for alpha
Test the performance of NLP-based trading signals
Help move validated signals into production

What they ask for

Required

Bachelor's, Master's or PhD candidate in computer science or similar
Python and software engineering practice
Machine learning and statistics
Interest in financial markets

Preferred

Prior research experience
Deep learning for NLP (PyTorch, HuggingFace, LLMs)
Data science stack

Education: Bachelor's, Master's or PhD candidate in computer science or another quantitative discipline.
Experience: Students; prior research preferred.
Languages and tools: Python
PyTorch
HuggingFace
Markets: equities

How to prepare

Build a text-based return predictor, such as earnings-call sentiment
Fine-tune a transformer model with HuggingFace and evaluate it carefully
Learn how to avoid look-ahead bias with text data
Keep your Git, testing and workflow habits clean

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.