The Current Expected Credit Loss (CECL) model represents a significant shift in how financial institutions recognize credit losses. The forward-looking approach to estimating the allowance for credit losses introduces several risks that auditors and examiners are scrutinizing. Understanding how to identify these potential CECL risks is essential for ensuring compliance and accuracy in credit loss estimates.
Robust risk assessments are crucial for model oversight and governance. I recently discussed appropriate risk and control environments for CECL during an ABA webinar hosted by Mike Gullette, the ABA’s Senior Vice President of Tax and Accounting.
ABA member Abrigo has worked with hundreds of institutions on CECL, starting long before the updated model was issued in 2016. The CECL solutions provider and its advisors helped SEC filers (first adopters), and they continue to work with large and small institutions. These best practices for identifying risks in CECL models are based on information gathered via client interactions, auditors and regulators, and our work with other industry players during the CECL “learning curve.”