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 across credit exposures.
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 ensuring correct exposure-level classification and early risk detection.
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 validation of team-level analysis, approval of case recommendations, management of segment-level exposure, and escalation to the credit committee where required.
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