NLP Researcher

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

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
• 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, visitwww.Point72.com/working-here.