NLP Researcher

Point72 seeks a quantitative researcher for its NLP quant team in New York. The team develops end-to-end trading signals, from data processing through performance testing and production launch, using advances in NLP for financial research.

Responsibilities

• Use NLP to construct features from varied datasets and formulate research hypotheses aimed at deriving alpha.
• Build and test trading signals based on NLP and financial features, then launch identified signals into production.

Requirements

• A bachelor’s, master’s or PhD degree in computer science or another quantitative discipline.
• Proficiency in Python and general software engineering practices, including GitHub, testing and development workflows; strong understanding of machine learning and statistics.
• Interest in financial markets, a collaborative mindset and commitment to high ethical standards. The ideal candidate also has data science skills and some experience with modern NLP.

Preferred qualifications

Prior research experience, familiarity with the data science stack, and deep learning experience specifically in NLP, including tools or methods such as PyTorch, Hugging Face and LLMs.

The annual base salary range is $150,000–$250,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary with location, experience, education and skill level.