This course covers Vintage Performance Tracking, which involves assessing the performance and risk behavior of credit exposures grouped by their origination period within Credit Monitoring & Portfolio Surveillance workflows. It focuses on identifying trends in delinquency, default rates, repayment performance, and asset quality across different borrower vintages to evaluate how portfolio risk evolves over time. The course examines how vintage analysis supports the early identification of deteriorating cohorts, emerging portfolio weaknesses, concentration risks, and long-term credit performance patterns. 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 cohort performance measurement, migration trends, loss emergence patterns, comparative vintage analysis, and governance oversight of portfolio quality indicators. It is distinct from an early warning detection system, as it focuses on structured analysis of portfolio performance trends across origination cohorts and historical credit behavior, rather than broader predictive monitoring frameworks designed to identify individual account deterioration signals. Within Portfolio Risk Trend Analysis, 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 analysis of vintage performance trends and evolving portfolio risk characteristics.