This course introduces the concept of Vintage & Cohort Performance Analysis within the Personal Loan Credit (Salaried/Self-Employed) framework. It focuses on analyzing portfolio performance by grouping loans based on origination period (vintage) or shared borrower/product characteristics (cohorts) to identify trends, emerging risks, and shifts in credit quality over time.
Learners will explore key assessment dimensions such as defining early risk indicators across vintages, evaluating income stability patterns within borrower groups, assessing bureau-based credit behaviour trends, and linking insights to risk-based pricing decisions, with an emphasis on independent validation and well-documented rationale. The course highlights how cohort-based analysis helps uncover deterioration in underwriting quality, changes in customer behaviour, or external stress factors that may not be visible in aggregate portfolio views. It also examines metrics such as delinquency curves, roll rates, and loss emergence across different vintages.
The course distinguishes vintage and cohort performance analysis from broader portfolio diversification strategies, emphasizing its role in structured monitoring, trend identification, and breach response at time-based and segment levels, whereas diversification focuses on distributing risk across segments. Each requires distinct evidence standards, ownership, and approval authority.
By the end of the course, participants will understand how to apply vintage and cohort analysis in practice, particularly within Early Warning, Monitoring, and Portfolio Quality. The course also emphasizes the role of the credit manager in validating team-level analysis, approving case recommendations, and managing segment-level exposure within Personal Loan Credit, ensuring timely escalation of emerging risks and alignment with credit committee priorities.