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NLP Engineer

Point72 New York🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

Leverage your expertise in modern NLP, including LLMs and RAG, to build impactful GenAI solutions with direct portfolio influence in a hybrid environment at a leading global investment firm. You'll thrive here if you possess a strong quantitative background, a passion for financial markets, and a collaborative spirit, contributing to cutting-edge research and development. Apply now to join a team committed to your long-term growth and innovation.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, United States
Posted
1 week ago

Job Description

ROLE/RESPONSIBILTIES:

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source models fine-tuning and deployment, etc.

Responsibilities include:

  • Exploring and combining rich internal and external textual datasets
  • Building GenAI solutions, leveraging both internal models and external APIs
  • Formulating research hypothesis to derive alpha
  • Post-training models for specific tasks
  • Benchmarking LLM approaches internal tasks

We believe the investment world offers unique opportunities to use modern NLP methods. We are a team ideally situated for that, having access to both internal and commercial datasets, with an end-to-end research philosophy and direct portfolio impact.

REQUIREMENTS:

  • Bachelor, Master’s or PhD graduate or candidate 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 

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.

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