We’re seeking someone to join our team as a Data Scientist 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 director 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.Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…What you’ll do in the role:Development of AI models leveraging Natural Language Processing (NLP), Machine Learning and related quantitative techniques to improve surveillance and compliance monitoring activitiesDesign high-performance systems utilizing cutting-edge NLP/ML techniques including large language models, Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analyticsCreate GenAI based solutions to enhance efficiency and achieve significant cost savings in labor-intensive manual tasksUndertake research efforts to identify novel methods to deliver efficiency and effectiveness across analytical solutionsWork with stakeholders of the Compliance, Legal, Financial Crimes, and IT departments to champion the adoption of new AI/ML/NLP approaches, techniques and capabilitiesWhat you’ll bring to the role:Master’s or PhD degree in Computer Science, Machine Learning, Statistics, Mathematics, Engineering or other highly quantitative fieldAt least 6 years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problemsKnowledge of software design and system principles, and excellent skills in either Python (preferred) or JavaExperience with AI/ML/NLP software packages such as LangChain, LangGraph, LlamaIndex, OpenAI SDK, PyTorch, HuggingFace, etc.Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniquesKnowledge of Vector Stores, Linux, SPARQL, and Graph DatabasesExperience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operationsFamiliarity with Financial Markets, with an emphasis on Compliance, Non-Financial Risk, Financial Crimes, and Fraud analytics.At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.Knowledge of French and English is required.WHAT YOU CAN EXPECT FROM MORGAN STANLEY:We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
