Quant NLP Researcher - Build & Launch Trading Signals

Point72; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Point72 seeks a quantitative researcher for an NLP-focused team in New York. The role emphasizes building end-to-end signals, from data processing to performance testing, using modern ML, NLP and software practices.

The ideal candidate has strong ML/data science skills, NLP experience and a keen interest in finance. You will contribute to constructing features, testing signals and deploying models to production.

Qualifications

• Degree in CS or quantitative discipline.
• Proficient in Python and 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).
• Familiarity with data science stack.
• Interest in financial markets.
• Commitment to ethics and high standards.

Responsibilities

• 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.

Skills

Machine learning

Data science

Software engineering

NLP knowledge

Finance interest

Education

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

Tools

Python

PyTorch

HuggingFace

LLMs

GitHub

Testing

Job description

Point72 seeks a quantitative researcher for an NLP-focused team in New York. The role emphasizes building end-to-end signals, from data processing to performance testing, using modern ML, NLP and software practices.

The ideal candidate has strong ML/data science skills, NLP experience and a keen interest in finance. You will contribute to constructing features, testing signals and deploying models to production.