Model Risk Management and Independent Validation — Jonas Osman Abdelfour
Model risk frameworks and independent validation of statistical, credit, AML and AI models — with equal attention to methodology, data lineage and governance.
Models are decision-making infrastructure. Independent validation asks whether a model is conceptually sound, whether its data is appropriate, whether its performance is stable, and whether its limitations are properly compensated for through controls and expert judgement.
The scope covers statistical, econometric and machine-learning models used in credit, financial crime, market risk, insurance and operational decisions.
What this work covers
A representative — not exhaustive — set of areas addressed in engagements of this type.
- Model risk management framework
- Model inventory and tiering
- Independent model validation
- Conceptual soundness review
- Data quality and lineage
- Statistical & econometric models
- Machine learning / AI models
- AML transaction monitoring models
- Credit scoring & PD/LGD/EAD
- Market and counterparty risk models
- Ongoing performance monitoring
- Compensating controls & overrides
- Governance of expert judgement
- Model change management
How it operates in practice
Validation follows a structured protocol: model documentation review, replication where feasible, benchmarking, sensitivity and stability testing, performance analysis, and an assessment of the control environment around the model. Findings are rated, prioritised and mapped to remediation with clear ownership.
Related insights
All insights →- Model RiskWhat good independent model validation looks like
A practical validation standard covering conceptual soundness, data, methodology, performance and governance.
- Model RiskModel risk management frameworks
Building an MRM framework: policy, inventory, tiering, lifecycle and monitoring.
- Model RiskValidation of statistical and AI models
Differences and commonalities in validating traditional statistical models and machine-learning models.
- Model RiskModel limitations and compensating controls
How to document limitations, design compensating controls and manage overrides.