Model Governance

With the growing reliance on predictive models for strategic decisions, organizations face heightened expectations from regulators, boards, and customers to ensure models are accurate, fair, transparent, and well-controlled. Poorly governed models can lead to financial loss, compliance breaches, and reputational damage. Our Model Governance framework enables organizations to strengthen oversight, enhance model performance, and build trust with stakeholders

• Model Governance Framework Design – Establish a structured governance model aligned with global best practices (SR 11-7, OCC, EBA) covering model lifecycle, accountability, and documentation standards.
• Model Inventory & Risk Tiering – Create and maintain a central repository of models with categorization based on criticality, complexity, and risk exposure.
• Model Development & Documentation Standards – Define protocols for model design, data selection, feature engineering, and performance metrics to ensure transparency and reproducibility.
• Model Validation & Performance Monitoring – Implement independent validation processes, back-testing, and ongoing monitoring to detect performance drift and emerging risks.
• Regulatory Compliance & Audit Readiness – Ensure models meet supervisory expectations, regulatory guidelines, and withstand external audit scrutiny.
• Training & Capability Building – Build awareness and capability among model owners, users, and validators through tailored workshops and playbooks