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#TigerSolves Season 2, Episode 3:  Navigating the Maze of Credit Loss Estimation "We're under scrutiny, and our current model just isn't cutting it," Sarah, the Chief Risk Officer of a global credit bureau, confided in her team. The clock was ticking, and they needed a solution that could accurately estimate credit losses while ensuring regulatory compliance. Enter Tiger Analytics. Our experts stepped in to develop a comprehensive Expected Loss Framework. With granular modeling, diverse data inputs, and rigorous quality processes, we empowered them to navigate the maze of credit loss estimation with confidence. The result? A resounding success. The credit bureau now boasts robust, regulator-approved loss forecasting, transparent documentation, and insightful visualizations. They can make data-driven decisions and maintain their competitive edge in the industry. Curious about how AI can help you manage credit risk with confidence? Read the full story here- https://lnkd.in/gnYXBc6N #creditloss #banking #ai

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