About The Position

We're seeking someone to join our team as a 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 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.

Requirements

  • At least 4 years of hands-on experience building AI/ML/NLP solutions and applying advanced statistical methods to solve complex business problems, together with a Master's or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or Machine Learning.
  • 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.
  • 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.
  • Knowledge of French and English is required.

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.

Benefits

  • Ample opportunity to move about the business for those who show passion and grit in their work.
  • Attractive and comprehensive employee benefits and perks in the industry.
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