Senior Data Scientist (NLP and GenAI Specialist)
AI summary of the role
Senior Data Scientist (NLP Specialist) in Non-Financial Risk at Morgan Stanley, Vice President level, designing and deploying advanced AI models for surveillance and compliance monitoring.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design high-performance systems using LLMs, 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
What you’ll bring
- Master's or PhD in Computer Science, Machine Learning, or other highly quantitative fields
- 10+ years hands-on industry experience building AI/ML/NLP solutions
- Excellent skills in Python (preferred) or Java
- Experience with AI/ML/NLP packages such as LangChain, PyTorch, HuggingFace, etc.
Technologies
LLM · RAG · Agentic AI · knowledge graph · LangChain · LangGraph · Semantic Kernel · CrewAI · OpenAI SDK · PyTorch · HuggingFace · SPARQL
About Morgan Stanley
Global financial-services firm advising, trading, managing and allocating capital for corporations, governments, institutions, wealthy clients and retail investors across banking, markets and asset management.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
We're seeking someone to join our team as 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. 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 Vice President 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
More from the job description
We're seeking someone to join our team as 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. 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 Vice President 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 analytic [... source excerpt omitted ...] stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and 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 > 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 [... source excerpt omitted ...] e would generally be expected to find the skills required for this 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. 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. At Morgan Stanley, you’ll find an opportunity to work alongs
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