About this role
As Senior Data Scientist (Fraud/Financial Crime Analytics) you'll develop, train, deploy, and monitor predictive fraud and risk models and AI/ML Tools; research and apply advanced methods including graph networks, agentic AI, and large language models; and build/test AI agents with rigorous validation to ensure reliability in live decisioning. You’ll use Databricks and PySpark to create scalable analytics pipelines and dashboards, collaborate closely with product, engineering, and data science partners, and contribute reusable modeling approaches and best practices that strengthen firmwide fraud prevention capabilities.