In this demonstration, we will utilize synthetic data algorithms in SAS® Data Maker to simulate feasible economic scenarios based on historical data. These scenarios will calibrate loan pricing according to credit and fraud risk. We will deploy a risk-based pricing calculator by optimizing loan pricing policies implemented in
SAS Intelligent Decisioning software and leveraging
SAS Risk Engine solution capabilities. This approach is crucial for the financial industry as it enhances decision-making processes, improves risk management, and ensures more accurate and fair pricing strategies for enterprise customer onboarding. Additionally, it enables financial institutions to incorporate loan provision and economic capital planning.
Presenting Company: SAS
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