Model Validation · SR 26-2 · Credit Risk
A financial institution recognized the critical need to modernize its credit risk framework and improve its ability to model, monitor, and communicate default risk in alignment with Federal Reserve/OCC SR 26-2 (Guidance on Model Risk Management).
The existing credit risk models lacked the rigor required under SR 26-2, and failed to provide a comprehensive, independently validated view of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). The client also needed stronger data visualization capabilities to support stakeholder reporting and demonstrate compliance during regulatory examination.
Finoptics conducted an independent model validation under SR 26-2, reviewing conceptual soundness, data integrity, and performance benchmarking across PD, LGD, and EAD components. Historical loan data, credit performance records, and economic indicators were integrated into a centralized database to support rigorous analysis.
Model findings and risk metrics were visualized through interactive Tableau dashboards, providing transparent, real-time insights into estimation methods, key assumptions, and uncertainty ranges. A robust monitoring framework was established within Tableau, enabling regular model reviews and timely updates as portfolio conditions and economic environments evolve.
The engagement delivered independently validated PD, LGD, and EAD models that met SR 26-2 requirements, giving the institution a defensible model governance framework. Refined models improved the accuracy of credit risk assessment across the credit lifecycle, enabling better-informed capital allocation decisions.
The Tableau dashboards enabled transparent stakeholder reporting, facilitated regulatory compliance documentation, and improved the institution's ability to demonstrate model soundness to examiners and auditors — strengthening its overall risk management posture.