Senior Data Scientist; NLP and GenAI Specialist

Overview

Senior 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. This is a Vice President level position within the NFR Data & Analytics team, which designs and optimizes surveillance models and tools to identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes.

The Legal & Compliance division helps the Firm manage legal, regulatory, and franchise risk.

• Design high-performance systems leveraging 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.
• Lead and develop junior data scientists to achieve key business objectives.
• Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques, and 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.
• 10+ 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 with excellent skills in 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 adhering to Software Development Life Cycle (SDLC) principles including 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, 9-10+ years' relevant experience would generally be expected to find the skills required for this role.

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. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

You’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

There’s also ample opportunity to move about the business for those who show passion and grit in their work.

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Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

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, sex stereotype, 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).