This course introduces the concept of Customer Outcome Deviation Analysis within the Personal Loan Credit (Salaried/Self-Employed) framework. It focuses on identifying and analysing gaps between expected customer outcomes—based on policy intent, underwriting standards, and product design—and the actual outcomes observed across the credit lifecycle.
Learners will explore key assessment dimensions such as detecting deviations linked to fraud and conduct risks, evaluating fairness and consistency in customer treatment, assessing potential sources of reputational exposure, and validating alignment between expected and actual outcomes, with an emphasis on independent validation and well-documented rationale. The course highlights how deviations may arise due to policy misinterpretation, execution gaps, override behaviour, or external factors, potentially leading to customer harm, compliance concerns, and weakened portfolio performance. It also examines the importance of feedback loops, corrective actions, and continuous monitoring to realign outcomes with intended design.
The course distinguishes customer outcome deviation analysis from operational procedure design, emphasizing its role in monitoring real-world outcomes, identifying breaches or misalignments, and enabling structured response at the exposure and portfolio level, whereas operational procedures define execution processes. Each requires distinct evidence standards, ownership, and approval authority.
By the end of the course, participants will understand how to identify, assess, and address outcome deviations in practice, particularly within Fraud, Conduct, and Customer Outcome Risk. 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 alignment with fairness principles, regulatory expectations, and credit committee priorities.