GenAI & NLP Data Scientist for Compliance & Risk

Morgan Stanley; Dallas (TX); On-site; USD 160,000 - 230,000; Full time

Job summary

Morgan Stanley seeks a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy AI models for surveillance and compliance monitoring. The role focuses on NLP, ML, and quantitative methods within the Legal & Compliance division, partnering across Compliance, Legal, and IT to advance detection of financial crimes.

Ideal candidates have 5+ years in AI/ML/NLP with Python, experience with LangChain, PyTorch, and OpenAI SDK, and a strong analytics mindset.

Qualifications

• Master's or PhD in highly quantitative field.
• 5+ years of hands-on AI/ML/NLP experience for business problems.
• Strong Python or Java and software design knowledge.
• Experience with LangChain, PyTorch, HuggingFace and related tools.
• Familiarity with SDLC and Git operations.

Responsibilities

• Design high-performance systems using LLMs, RAG, and graph analytics.
• Create GenAI solutions to automate tasks and reduce costs.
• Research novel methods to enhance analytical solutions.
• Collaborate with Compliance, Legal, Financial Crimes, and IT.
• Champion innovative approaches to detect suspicious activity.

Skills

NLP

ML

Python

Communication

Problem solving

Education

Master's degree in CS/ML

PhD in a quantitative field

Tools

LangChain

LangGraph

Semantic Kernel

OpenAI SDK

PyTorch

HuggingFace

Git

Job description

Morgan Stanley seeks a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy AI models for surveillance and compliance monitoring. The role focuses on NLP, ML, and quantitative methods within the Legal & Compliance division, partnering across Compliance, Legal, and IT to advance detection of financial crimes.

Ideal candidates have 5+ years in AI/ML/NLP with Python, experience with LangChain, PyTorch, and OpenAI SDK, and a strong analytics mindset.