NLP Researcher

Role/Responsibilities:

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. We develop and launch 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 curiosity about finance and trading.

Responsibilities may include:

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 other quantitative discipline

Proficient in Python and general software engineering principles (github, testing, dev workflow)

Strong understanding of machine learning and statistics

Prior research experience preferred

Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred

Data science stack familiarity preferred

An interest in financial markets

Great attitude

A collaborative mindset

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.