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 identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.

• 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.

• 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 Lang Chain, Lang Graph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, Hugging Face, etc.
• Experience in adhering to Software Development Life Cycle (SDLC) principles including GIT 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.

We offer comprehensive employee benefits.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).