Job Overview
Role/Responsibilities
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
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