Recorded Webinars

AFP Learn Webinars

The Smarter Way to Fight Fraud: Adopting the FraudClassifier Model

Credits: 1.2 CTP/CCM | 1.2 FPAC

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Throughout the payments industry, fraud is a persistent concern with costly implications if not identified and mitigated quickly. Luckily, better fraud information can help. The Federal Reserve and industry experts developed the FraudClassifierSM model with the vision of providing the industry a consistent way to classify fraud and speak the same fraud language. Since the model’s release last year, payments stakeholders have affirmed the model’s intuitive approach to classifying fraud involving payments, which has the potential to lead to a better understanding of fraud trends and improved fraud management. Join Federal Reserve leaders as they discuss the model’s benefits and the opportunities it presents for the industry to capture a more holistic view of payments fraud and fraud risks.

Learning Objectives
Understand how FraudClassifierSM identifies and classifies types of fraud to better mitigate risk
Gain insight into how FraudClassifierSM can be implemented across the organization to track fraud trends

This recording was originally delivered as a live event on Wednesday, June 10, 2021 and is now available to you as a convenient and cost-effective way to support your learning and development while also earning CTP, CCM and/or FPAC credits.

Credits Confirmation
Take the quiz that appears at the conclusion of the recording within your recertification cycle to earn eligible credits.  Once you’ve successfully completed the quiz, you will be prompted to complete a brief Credits Request Form. Following the completion of this form, an email confirmation of credits earned and directions to post your credits in the Recertification Reporting Tool will be sent to you for your records. If you attended the live version of this webinar, you cannot earn credit for the recorded as well.

 

Speakers

  • Andrés Rapela
    Assistant Vice President, Secure Payments,
    Federal Reserve Bank of Boston