This course introduces the concept of Customer Outcome Deviation Analysis within the Personal Loan Credit (Salaried/Self-Employed) framework. It focuses on analyzing gaps between expected customer outcomes (as defined by policy, product design, and disclosures) and actual outcomes experienced by borrowers across the credit lifecycle.
Learners will explore key assessment dimensions such as identifying fraud-related deviations, evaluating conduct and fairness gaps, and assessing reputational exposure arising from inconsistent or adverse customer outcomes, with an emphasis on independent validation and well-documented rationale. The course highlights how deviations may arise from misaligned underwriting decisions, pricing inconsistencies, process breakdowns, or inadequate disclosures, leading to customer dissatisfaction, complaints, or regulatory concerns. It also examines the importance of linking expected outcomes to actual performance metrics such as repayment behavior, cost of credit, and customer experience indicators.
The course distinguishes customer outcome deviation analysis from operational procedure design, emphasizing its role in monitoring, identifying, and responding to deviations at the exposure and portfolio level, whereas operational design defines how processes should ideally function. Each requires distinct evidence standards, ownership, and approval authority.
By the end of the course, participants will understand how to identify, analyze, and address customer outcome deviations in practice, particularly within Fraud, Conduct, and Customer Outcome Risk. The course also emphasizes the role of the credit analyst in executing structured assessments, documenting findings, and escalating exceptions for managerial review within Personal Loan Credit files, ensuring alignment with fair lending principles, regulatory expectations, and credit committee priorities.