Senior Data Scientist (NLP and GenAI Specialist)

About the role

We're seeking a 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.

Responsibilities

• 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.
• 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.

Requirements

• 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 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, HuggingFace, 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.

Qualifications

• Typically 9-10+ years' relevant experience would generally be expected to find the skills required for this role.

Skills

• Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
• Experience with Vector Stores, Linux, SPARQL, and Graph Databases.

Benefits

At Morgan Stanley, 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.

Pay

Competitive compensation and benefits package.

Schedule

Full-time.

Company

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