NLP Engineer at Point72 (New York, NY)
Point72 · New York, NY·
Job description
ROLE/RESPONSIBILTIES
We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc.
We believe the investment world offers unique opportunities to use modern NLP methods.
Responsibilities may include:
- Exploring and combining rich internal and external textual datasets
- Formulating research hypothesis to derive alpha
- Building GenAI solutions, leveraging both internal models and external APIs
REQUIREMENTS
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL and general software engineering principles (github, testing, etc.)
- Data science stack familiarity
- Interest in financial markets
- Collaborative mindset
- Commitment to the highest ethical standards
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
Why work at Point72
- Culture & structure: Flat, entrepreneurial organization where junior team members can make an immediate impact. Emphasis on mentorship, collaboration, and long‑term development.
- Work environment: Premium office spaces with amenities; hybrid/office‑based roles (specific policy varies by role and location). Most roles are based in firm offices.
- Benefits (generally include): Exceptional healthcare benefits, generous parental and family leave, supplemental retirement plans with employer match, tuition assistance.
- Engineering & quant culture: Cubist offers researchers, developers, and data specialists the chance to work on cutting‑edge problems in financial markets.
- Growth opportunities: Internal mobility, leadership development, and a strong track record of promoting from within. The firm invests heavily in learning (Academy, conferences, tuition reimbursement).
- Community and inclusion: Affinity groups, volunteer opportunities through Community Matters, and a dedicated Chief Inclusion and Engagement Officer.