This PPT slide, part of the 92-slide Unlock the Power of Operational Risk Management PowerPoint presentation, outlines significant risks associated with credit, focusing on 2 primary categories: calculation errors due to incorrect input data and model methodology or algorithm errors. Each category includes a description of the risk, its drivers, implications for the business, and examples of past external events that illustrate the consequences of these risks.
For calculation errors, the slide identifies multiple drivers such as process design, implementation, and human capital issues like availability and expertise. These errors can lead to substantial financial repercussions, including billed overtime for external consultants, costs associated with restitution, regulatory fines, and legal liabilities. The mention of past events, such as the National Australia Bank incident, underscores the real-world impact of these risks, highlighting the difficulty in distinguishing between errors due to incorrect data and those stemming from other issues.
The second category, model methodology or algorithm errors, shares similar drivers and implications. It emphasizes the importance of robust processes and skilled personnel to mitigate these risks. The slide notes that these errors can also result in significant financial liabilities and regulatory scrutiny, echoing the concerns raised in the first category.
Overall, the slide serves as a critical reminder of the complexities and potential pitfalls in credit risk management. It encourages organizations to assess their processes, invest in human capital, and learn from past events to avoid similar pitfalls in the future. The structured approach to identifying risks and their implications provides a clear framework for executives to consider when evaluating their operational risk management strategies.
This slide is part of the Unlock the Power of Operational Risk Management PowerPoint presentation.
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