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About the Role

Develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring within the Non-Financial Risk team.

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.
• 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.

Requirements

• 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
• 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
• 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

Skills

• Python
• Java
• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• Agentic AI architecture
• Knowledge graph analytics
• GenAI
• AI/ML/NLP
• Software design
• System principles
• LangChain
• LangGraph
• Semantic Kernel
• CrewAI
• OpenAI SDK
• PyTorch
• HuggingFace
• Software Development Life Cycle (SDLC)
• GIT
• Problem solving
• Time management
• Communication skills
• Financial markets
• Compliance
• Non-Financial Risk
• Fraud analytics
• LLM-as-a-Judge
• Vector Stores
• Linux
• SPARQL
• Graph Databases

Location

• Non-Financial Risk

Work Type

• Full-time

Experience Level

• Director level
• 8+ years relevant experience

Education Level

• Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields

Benefits

• Attractive and comprehensive employee benefits and perks

About the Company

• 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.
• 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 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.
• To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Equal Opportunity

• Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.
• Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
• Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
• For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.