Introduction
Course overview
Models are used throughout modern organisations to price products, assess credit, value assets, forecast demand, detect fraud and support strategic decisions. Increasingly these include machine learning and artificial intelligence models. When models are poorly designed, misused or not monitored, they can produce costly errors and regulatory breaches.
This Model Risk Management and Validation training course explains how to govern, validate and monitor models across their life cycle. Participants learn how to build a model inventory, tier models by risk, set development and documentation standards, perform independent validation, monitor performance and manage model changes and limitations.
The course draws on widely recognised supervisory guidance and industry practice, and is relevant to both financial institutions and other organisations that rely heavily on analytical models.
Global Learning for Operational Leaders