What is risk model validation?

Risk model validation is the process of assessing and ensuring that a financial or statistical risk model is accurate, reliable, and appropriate for its intended use. This typically involves reviewing the model's design, data inputs, assumptions, and performance against real-world outcomes. The goal is to identify any weaknesses, limitations, or errors in the model so that organizations can manage risks more effectively and comply with regulatory requirements. Risk model validators often use back-testing, stress testing, and benchmarking against industry standards as part of the validation process.