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 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.

Qualifications

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

Skills

• Experience with large language models (LLMs).
• Experience with retrieval augmented generation (RAG).
• Experience with agentic AI architecture.
• Experience with knowledge graph analytics.
• Experience with genAI-based solutions.
• Experience with software development life cycle (SDLC).
• Experience with Git related operations.
• Experience with vector stores.
• Experience with Linux.
• Experience with SPARQL.
• Experience with graph databases.

Benefits

• Morgan Stanley is committed to providing a supportive and inclusive workplace for all employees.
• The firm offers competitive compensation and benefits, including health insurance, retirement plans, and paid time off.
• Employees have access to professional development opportunities, training programs, and mentoring resources.
• Morgan Stanley is dedicated to fostering a diverse and inclusive culture, and encourages applications from candidates of all backgrounds.

Pay

Competitive salary and benefits package.

Schedule

Full-time position.