NLP Engineer
Summary
Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
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.
Skills
As published by greenhouse · 6 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Pick from a list (5)
- Have you previously applied to work at Point72?
- Are you legally authorized to work in the United States?
- Will you now or in the future require sponsorship for employment visa status in the United States?
- Have you served in the military?
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Written answers (1)
- Note to Hiring Manager: optional