Job Description:
The Data-Driven Security & Analytics team at Wells Fargo is at the forefront of protecting millions of customers and billions in assets through advanced data science, machine learning, and real-time analytics. We develop production-grade models and analytical solutions that detect and prevent sophisticated fraud schemes, cyber threats, account takeovers, money laundering, insider risks, and emerging attack vectors in one of the most data-rich and heavily regulated environments in the world. Our work directly impacts real-time transaction authorization decisions, security operations, threat hunting, AML programs, and executive risk reporting. We are seeking an experienced Data Scientist to design, develop, deploy, and continuously improve machine learning and advanced analytical models that power next-generation fraud detection, cybersecurity threat detection, behavioral risk scoring, and anomaly identification. You will work on massive, high-velocity datasets—including transaction streams, authentication events, network telemetry, device fingerprints, threat intelligence feeds, and enriched behavioral profiles—while operating under strict regulatory, privacy, and security constraints. This is a high-visibility, high-impact role where your models influence billions of dollars in fraud prevention annually and help defend against nation-state-level cyber threats.
