Adherence to regulations is critical, but how do you ensure compliance when they are a moving target? Traceability, reproducibility, and reusability are the three pillars upon which models should be constructed to meet regulatory requirements. Doing so will naturally reduce operational costs yet provide the agility necessary for the risk team to adapt.
A platform is necessary to address key challenges around model implementation, validation, governance, and review. Furthermore, such an environment must have many automation capabilities (documentation generation, model validation automation, etc.) and provide complete model lineage to ensure adherence to regulatory standards such as SR11-7, Basel, CCAR, CECL, and FRTB. Finally, making use of existing models and providing programming language interoperability is crucial given we now live in a polyglot world. All this information must then be summarized in customizable dashboards to be consumed on demand by key stakeholders.
In this session, we will demonstrate MATLAB’s MRM capabilities around model development (advanced AI/deep learning), model lineage, documentation automation, model review & monitoring, all tracked within MathWorks Model Inventory making MATLAB® the complete model management solution as opposed to just an ad-hoc model development tool.