This course covers Vintage Performance Tracking, which involves assessing the performance of credit exposures grouped by origination period or cohort to identify emerging portfolio risks, deterioration patterns, and long-term asset quality trends within Credit Monitoring & Portfolio Surveillance workflows. It focuses on analyzing how different vintages perform over time in terms of repayment behavior, delinquency levels, default rates, restructuring activity, and overall credit quality, enabling more effective monitoring of portfolio performance across borrower segments. 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 comparing vintage cohorts, identifying underperforming origination periods, detecting shifts in credit quality trends, and assessing the effectiveness of underwriting and portfolio management practices. It is distinct from an early warning detection system, as it focuses on historical cohort-based performance analysis and trend evaluation across groups of exposures, rather than the broader identification of real-time borrower-specific warning signals and deterioration indicators. Within Portfolio Risk Trend Analysis, 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 portfolio risk management actions based on vintage-level performance trends and emerging risk patterns.