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 exposures based on origination period (vintages) or shared characteristics (cohorts) to identify trends, emerging risks, and performance patterns over time.
Learners will explore key assessment dimensions such as defining early risk indicators across vintages, evaluating income stability trends within cohorts, assessing bureau-based credit behaviour over time, and linking observed performance to risk-based pricing decisions, with an emphasis on independent validation and well-documented rationale. The course highlights how vintage and cohort analysis helps isolate the impact of underwriting standards, economic conditions, and channel strategies on portfolio outcomes. It also examines how early signs of deterioration—such as rising delinquency rates in recent vintages—can signal underlying issues requiring timely intervention.
The course distinguishes vintage and cohort performance analysis from broader portfolio diversification strategies, emphasizing its role in structured performance tracking, risk identification, and breach response at the segment and time-based level, 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 design, interpret, and apply vintage and cohort analysis in practice, particularly within Early Warning, Monitoring, and Portfolio Quality. The course also emphasizes the role of the senior credit leader in setting portfolio limits, governing exception criteria, and driving strategic alignment across the Personal Loan Credit function, ensuring timely identification of emerging risks and alignment with credit committee priorities.