This course covers Payment Behaviour Deviation, which involves assessing changes or irregularities in a borrower’s repayment patterns to identify emerging credit risk within Credit Monitoring & Portfolio Surveillance workflows. It focuses on detecting deviations from established payment behavior, such as delayed installments, partial payments, increasing payment irregularities, missed obligations, or deteriorating repayment discipline that may signal financial stress or weakening creditworthiness. The course examines how payment behavior analysis supports the early identification of borrower distress, enhances risk visibility, and enables timely intervention before credit quality deteriorates further. It 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 repayment trend monitoring, delinquency pattern analysis, behavioral risk assessment, exception identification, and governance oversight of borrower performance indicators. It is distinct from operational procedure design, as it focuses specifically on identifying and assessing deviations in borrower payment behavior as part of structured risk monitoring and breach response activities, rather than the broader design and implementation of operational processes and controls. Within Early Warning Signal Identification, the senior credit leader sets portfolio limits, governs exception criteria, and drives strategic alignment across the Credit Monitoring & Portfolio Surveillance function, shaping escalation scope, risk priorities, and portfolio management decisions through effective monitoring of payment behavior deviations and emerging borrower risk signals.