Quant jobs / Point72

NLP Researcher

A researcher role in an NLP-focused quant team at Point72, using modern language models to build trading signals. The team takes ideas from data processing to live 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 varied datasets using NLP
Form research hypotheses and test signals for alpha
Measure the performance of trading signals that combine NLP and financial features
Take validated signals into production

What they ask for

Required

Bachelor's, master's or PhD in computer science or another quantitative subject
Proficient Python and good software engineering habits
Strong machine learning and statistics
Interest in financial markets
Collaboration

Preferred

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

Education: Bachelor's, master's or PhD in computer science or another quantitative discipline
Experience: No minimum years stated; research experience preferred
Languages and tools: Python
PyTorch

How to prepare

Build a text-based signal, such as earnings-call or news sentiment, and test it against returns
Fine-tune or use a transformer model with HuggingFace on a finance text task
Write clean, tested code and use a proper git workflow
Learn how text-signal backtests suffer from look-ahead and timestamp problems

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.