By PAUL O’DONOGHUE, Senior Correspondent
A new e-book from AML Intelligence, produced in collaboration with Hawk, reveals key AI model management lessons for compliance leaders.
This exclusive guide brings together expert compliance practitioners from global banks, sharing candid insights on what it really takes to govern AI models effectively in today’s regulatory landscape.
The publication, ‘Inside AI Model Management: Lessons from Anti-Financial Crime Leaders’, is available to download [HERE].
Financial institutions are now deploying AI to detect fraud and monitor transactions at a scale unimaginable just five years ago. Some 80% of banks already using AI in at least one core risk or compliance function.
Yet, as regulatory scrutiny intensifies, many organisations are still catching up, with 60% lacking a formal AI governance framework.
In this expert roundup, senior practitioners reflect on the shift from simply “inheriting” models from data science teams to taking full ownership of model governance — from design through to deployment and oversight.
High-profile contributors include:
- Adrianna Fabijanska: Global Head of Financial Crime Compliance for Investment Banking at ING.
- Robert Edwards: Former Global Head of Transaction Monitoring at Credit Suisse.
- Nadia Wilson: Global Head of Transaction Monitoring at Rabobank.
- Matt Willard: Head of Anti-Financial Crime and Executive Vice President at Apple Bank
- Bruno Medeiros Augusto: Manager at Rabobank Global Sanctions Specialist Services
Download your copy [HERE] to gain practical insights, peer perspectives, and actionable lessons shaping the future of AI in financial crime compliance.
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