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After validation and implementation of a model, ongoing performance monitoring will help ensure that your risk scoring mechanisms are performing at their peak to mitigate risk. This is even more important during periods of economic uncertainty to help clients anticipate behavior changes and evolving risk from within their customer portfolio. Tracking performance against well-defined metrics can help identify trends on a proactive rather than reactive basis. Serving as an “early warning” system, an ongoing approach can identify when models need to be reviewed and possibly rebuilt as market and other conditions fluctuate. DMS can help evaluate model effectiveness and will deliver control charts and other documentation that your team can leverage as part of your overall model governance strategy.
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