This course covers Payment Behaviour Deviation, which involves assessing changes and irregularities in borrower payment patterns to identify emerging credit risks and potential deterioration within Credit Monitoring & Portfolio Surveillance workflows. It focuses on evaluating repayment behavior against historical trends, agreed payment obligations, and expected account conduct to detect early signs of financial stress, weakening repayment capacity, or increased default risk. The course evaluates key dimensions such as control lapses, early warning signal identification, risk trend analysis, and proactive portfolio risk management, with each requiring independent validation and documented rationale before any credit action is finalized. Particular emphasis is placed on identifying delayed payments, missed installments, partial repayments, and other behavioral deviations that may indicate heightened exposure risk and require timely intervention. It is distinct from operational procedure design, as it focuses on the identification, assessment, and response to payment-related risk signals and exposure deterioration, rather than the broader design and implementation of operational processes and control frameworks. Within Early Warning Signal Identification, the credit manager validates team-level analysis, approves case recommendations, and manages segment-level exposure within Credit Monitoring & Portfolio Surveillance, shaping escalation scope, monitoring priorities, and risk mitigation actions based on emerging payment behavior concerns.