OPTIMIZE YOUR BUSINESS WITH MODEL RISK MANAGEMENT
Oct 21, 2021
Complimentary Webinar: Because traditional model development methods are time-consuming, tedious, and subject to user error and bias, it is important to have a more robust framework for minimizing model risk that delivers compliance with MRM (model risk management) regulations. AI and machine learning can systematically automate fundamental model validation tasks, such as sensitivity testing, stress testing, champion-challenger benchmark models, documentation and reporting, model monitoring, and inventory tracking. This allows your team to gain efficiency, align confidently with regulations, and improve your overall validation process so that they can focus on more complex tasks and mission-critical models.