Saurav Banerjee

Global Head of Risk Intelligence, Financial Crime Prevention - UBS AG

Saurav Banerjee is a seasoned professional specializing in risk intelligence, strategy transformation and geopolitical risk management. Saurav currently holds the role of Global Head of Risk Intelligence at UBS. His leadership involves steering a global team of data analysts and investigators to uncover and manage risks driven by global megatrends.

In his previous roles at UBS, Saurav has successfully built and led teams focused on digital assets compliance and geopolitical risk. He set up UBS’s first comprehensive risk framework for digital assets, led strategic initiatives at board levels, and drove global transformation efforts across financial crime and emerging risk intelligence functions.

All Sessions by Saurav Banerjee

09:00 - 09:30

STRATEGY

Keynote session: Recalibrating Risk Intelligence: Financial Crime in a Shifting Global Risk Landscape

  • Understanding how geopolitical instability, economic uncertainty, and rapid regulatory shifts are reshaping financial crime exposure across institutions
  • Why forward-looking, intelligence-led risk frameworks are essential for identifying and mitigating emerging financial crime threats
  • Managing cross-border compliance complexity amid tightening sanctions regimes, evolving AML directives, and rising enforcement action
  • How institutions can better integrate financial crime into overall risk appetite, governance, and capital planning in today's high-risk climate

15:10 - 15:40

EMERGING TECHNOLOGIES

Panel Discussion: Harnessing AI for AML: Technology-Driven Strategies to Combat Digital Financial Crime

  • Navigating the complexities of transaction anonymity and regulatory oversight within Decentralized Finance (DeFi) platforms, leveraging AI for enhanced monitoring
  • Overcoming challenges in detecting and regulating suspicious activities within cryptocurrency exchanges through AI-powered transaction analysis
  • Addressing the potential pitfalls of AI-driven AML analytics, including bias, transparency concerns, and the necessity for robust human oversight in decision-making
  • Strengthening digital identity verification in diverse markets using AI-driven authentication solutions to mitigate money laundering risks posed by inadequate verification processes