Increases in the number of models used by financial institutions, driven by automation and tighter capital requirements, are creating heightened model risk. Effective model risk management is essential for ensuring that models are clearly defined, properly validated, used as intended, and continually monitored and updated, but this process can be resource intensive and time consuming.
MATLAB® provides a transparent platform that streamlines the model risk management process. Major financial institutions are using MATLAB to improve productivity, reduce costs, and meet regulatory expectations for how they manage their models.
Read this white paper to learn more about:
- The key principles of model risk management
- Addressing the key pain points in model risk management
- How the Global Risk Analytics department at HSBC is using MATLAB to accelerate model development and validation and ensure full traceability at every step of the model life cycle