NLP Researcher - Finance Signals & Production ML

Point72 Asset Management, L.P; New York (NY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Point72 Asset Management, L.P. is seeking a quantitative researcher to join an NLP quant team. We are exploring NLP advances for finance, developing end-to-end signals from data processing to performance testing.

The ideal candidate will have strong ML, data science and software engineering skills, experience with NLP, and genuine interest in finance and trading. You will build features, test signals and push them into production with a collaborative team.

Qualifications

• Bachelor's, Master's or PhD in computer science or quantitative field.
• Proficient in Python and software engineering practices (GitHub, testing, dev workflow).
• Strong understanding of machine learning and statistics.
• Experience with deep learning and NLP (PyTorch, HuggingFace, LLMs) preferred.

Responsibilities

• Using NLP to construct features from varied datasets.
• Formulating hypotheses to derive alpha.
• Build and test trading signals based on NLP and financial features.
• Launch identified signals into production.

Skills

Python

Machine learning

NLP

Deep learning

Collaboration

Education

Bachelor’s/Master’s/PhD in CS or quantitative discipline

Tools

GitHub

Testing

Dev workflow

PyTorch

HuggingFace

LLMs

Job description

Point72 Asset Management, L.P. is seeking a quantitative researcher to join an NLP quant team. We are exploring NLP advances for finance, developing end-to-end signals from data processing to performance testing.

The ideal candidate will have strong ML, data science and software engineering skills, experience with NLP, and genuine interest in finance and trading. You will build features, test signals and push them into production with a collaborative team.