Webinar  | Wednesday, July 22nd @ 11:00 a.m. ET

The Science of Compliance: Using data science to manage risk in a changing risk landscape

AI is accelerating the speed, scale, and sophistication of financial crime—forcing defenders into a race they can’t afford to lose. As bad actors rapidly adopt new tools and techniques, financial crime teams are under pressure to respond even faster with equally advanced countermeasures. This dynamic creates a constant “cat and mouse” battle, where staying ahead requires not just keeping pace, but consistently outperforming increasingly capable adversaries.

Join Saifr’s Strategic Risk Advisor, Jon Elvin, and Last Feremenga, Saifr’s U.S. Head of Data Science, as they explore the critical role data science plays in effective risk management and why it matters now more than ever. This session delves deeper into the core principles of risk quantification, advanced entity resolution, and name matching techniques, and why they should remain front and center for compliance and risk leaders in establishing control frameworks.

Attendees can gain a strategic view of how data science is evolving—from examples of historic data science versus more modern systems, with an emphasis on name matching techniques and advanced entity resolution concepts. The session will explore:

• Data science evolution from legacy approaches to modern, AI-driven techniques
• What current techniques actually deliver—and where they may be falling short
• The importance of explainability vs. “Just trust the algorithm.”
• Practical examples for adverse media and sanctions monitoring.
• Ideas for the future: Strengthening collaboration between data scientists and risk/compliance professionals.

Attendees will also see examples of creative ways these two constituents can come together to help drive innovation and advance outcomes.

Save your spot and register today.