Model Behavior: Adopting an Enterprise Approach to Model Risk Management

As model complexity and regulatory scrutiny increases, organizations are looking for new ways to effectively manage and optimize their use across the enterprise, while reducing risk. Model risk must be managed as diligently and cannot be separated from broader enterprise risk initiatives.
To meet these objectives, financial institutions require SOA-based frameworks that enable them to centrally manage and control models in a single enterprise repository; leverage flexible statistical languages, such as R; enable wider model reuse and rapid integration with applications; accelerate model development; cut risk with a safe sandbox; and streamline compliance with stress testing requirements.