Overview
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 POINT7
Full job description
Full 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.
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