Data Scientist (NLP and GenAI Specialist)

We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role:> Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.> Create GenAI-based solutions to automate manual tasks and drive cost efficiency.> Conduct research to identify novel methods for enhancing analytical solutions.> Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.> Champion innovative approaches to improve detection of suspicious activity. What you'll bring to the role:?> Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields> 5+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems> Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java> Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, Hugging Face, etc.> Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations> Strong problem solving and time management skills> Excellent written and oral communication skills> Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics> Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques> Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role Please note that the location listed for this role is temporary. The position's work location will transition to 1445 Ross Ave, Dallas, TX 75202 at a future date. In-Person interviews will be required for the role. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that's differentiated – and we've done that for 90 years.

Posted Date: Jul 27, 2026ATS Job Description Test: Department: LCD Data and Analytics