NLP Researcher

Quantitative Researcher, NLP Team

We are seeking a Quantitative Researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. The role involves developing and launching end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science, and software engineering skills, some experience with modern NLP, and a genuine curiosity about finance and trading.

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.

Requirements

• Bachelor’s, Master’s, or PhD degree in Computer Science or another quantitative discipline.
• Proficiency in Python and general software engineering principles (including GitHub, testing, and development workflow).
• Strong understanding of machine learning and statistics.
• Prior research experience is preferred.
• Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) is preferred.
• Familiarity with the data science stack is preferred.
• An interest in financial markets.
• A collaborative mindset and a strong work ethic.
• Commitment to the highest ethical standards.

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.