Why Siloed Fraud and AML Systems Are Failing Financial Institutions - with Debjit Saha of MoneyGram
From AI in Financial Services Podcast by Daniel Faggella
January 26, 2026 · 23 min
About this episode
Debjit Saha discusses the challenges and solutions for unifying fraud and AML systems in financial institutions.
Today's guest is Debjit Saha, VP of Engineering & Product for Risk & Compliance at MoneyGram. Debjit focuses on building data- and AI-driven controls for fraud, compliance, and payments decisioning. Debjit joins Emerj Editorial Director Matthew DeMello to explore how financial institutions can unify fraud, AML, and sanctions data amid rising costs, regulatory scrutiny, and sophisticated threats. Debjit also highlights practical steps for enterprise leaders: standardize tooling to bridge silos, shift to model-based detection to reduce false positives, and implement tiered human-in-the-loop controls for greater compliance efficiency. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast!
People in this episode
Host: Matthew DeMello
Guest: Debjit Saha
Topics covered
- fraud prevention
- AML systems
- financial institutions
- data unification
- AI in compliance
- risk management
Keywords
- fraud
- AML
- compliance
- financial institutions
- data-driven controls
- AI
- risk management
- false positives
- human-in-the-loop
Mentioned in this episode
Organizations: MoneyGram
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