Role at a glance
- Job function
-
AI & Data Natural Language Processing (NLP)
- Salary
- Not Disclosed
- Location
- New York, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience in NLP, particularly LLMs.
- Education
- Bachelor, Master’s or PhD graduate or candidate in computer science or another quantitative discipline
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Role Summary
The NLP Engineer will work on a natural language processing research team, developing NLP solutions for investment research. The role uses internal and external textual datasets and applies language models and other generative AI approaches to research tasks.
What You'll Do
- Explore and combine internal and external textual datasets.
- Build generative AI solutions using internal models and external APIs.
- Formulate research hypotheses to derive alpha.
- Post-train models for specific tasks.
- Benchmark LLM approaches on internal tasks.
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View full postingQualifications
Bachelor’s, Master’s, or PhD graduate or candidate in computer science or another quantitative discipline; experience in NLP, particularly LLMs; proficiency in Python, SQL, and general software engineering principles (github, testing, etc.); data science stack familiarity; interest in financial markets; collaborative mindset.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Point72
Large Enterprise
Point72 is a global asset management firm that invests across various asset classes, primarily focusing on equity and credit markets. Founded by Steven A. Cohen in 2014, the firm leverages advanced data analytics and extensive research to drive investment decisions and deliver superior returns for its clients. With a commitment to collaboration, innovation, and professional development, Point72 cultivates a dynamic work environment where talented individuals can thrive in the fast-paced financial landscape. The company fosters a culture of integrity and accountability, aiming to contribute positively to the communities it serves.