This course introduces the concept of SMA Classification Accuracy within the Credit Monitoring & Portfolio Surveillance framework. It focuses on assessing the accuracy of Special Mention Account (SMA) classification to ensure timely identification of stress signals and appropriate risk categorization.
Learners will explore key assessment dimensions such as control lapses, early warning signal identification, risk trend analysis, and proactive portfolio risk management, with an emphasis on independent validation and well-documented rationale. The course also distinguishes SMA classification accuracy from broader credit management processes, highlighting its specific role in identifying emerging risks and ensuring correct exposure-level classification.
By the end of the course, participants will understand how to apply SMA classification accuracy assessment in practice, particularly within Watchlist and Special Mention Account Management, including documentation standards, exception handling, and escalation for review within the credit approval process.