REPLAY
Bad Debt or Fraud? How to tell the difference in the data
Some of what you're writing off as credit losses is really fraud.
SentiLink retrostudies found that 72% of preventable identity-fraud losses are likely first-party fraud. Often, that fraud gets booked as bad debt. Watch this webinar to learn how to find it and stop it.
What you'll learn:
What's hiding in your books: New data on how much first-party fraud is sitting in booked accounts right now.
How to put it into practice: A treatment playbook, from the first fraud check through ongoing monitoring.
How to catch it at application: How to flag first-party fraud risk up front by looking at proven signals instead of guessing at intent.
PRESENTED BY:
Watch on-demand
->
Share this webinar
Participants
Anurag Chowdhury
Director of Fraud
Oscilar
Anurag Chowdhury leads fraud solutions and strategy for financial services and fintechs. Previously, he led the Fraud Machine Learning and Decision Science team for Square/Block’s merchant ecosystem and spent over 15 years at American Express in fraud strategy and risk roles. Anurag brings deep experience across issuer and acquirer domains, real-time decisioning, and model-driven fraud prevention.
Sam Mulholland
Head of Strategy and Operations
SentiLink
Sam Mulholland leads the Strategy and Operations team at SentiLink, employing his deep understanding of the fraud industry to provide guidance and insight across the organization. He also heads up SentiLink's First-Party Fraud product team, and has a unique perspective on the evolution and hallmarks of modern first-party fraud.
Charlie Custer
Technical Research and Content Lead
SentiLink
Charlie Custer is the Technical Research and Content Lead at SentiLink, where he combines deep data analysis with compelling content creation to support anti-fraud innovation. After starting in investigative tech journalism and video production, he moved into technical content marketing, where he brings a unique blend of storytelling skill and analytical insight.