Leading Bank Reduced Credit-loss Rates & Enhanced Efficiency Through Credit Risk Model Validation

Leading Bank Reduced Credit-loss Rates & Enhanced Efficiency Through Credit Risk Model Validation

Featured in IDC’s Enterprise Intelligent Services Case Studies: AI-Enabled Analytics


Abstract
A bank devised a framework to validate its credit risk model. It took time to validate the concept and comprehend its usage throughout the spectrum of consumers. With this, the validation requests grew and responses to backlogs spiked. Discover how Cigniti’s digital engineering and digital insights expertise helped chalk out an assessment strategy to identify potential gaps to streamline the credit risk model validation process. This reduced credit-loss rates, making significant efficiency gains.

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