Fitforpurpose.biz

Model validation is the independent, evidence-based assessment of financial models to confirm they are conceptually sound, accurately implemented, and fit for their intended purpose. Our Model Validation Solution provides independent testing and governance across the full model lifecycle — from conceptual soundness and input data quality to outcomes analysis, ongoing monitoring, and governance documentation.

It’s designed for banks, insurers, DFIs, investment managers, and any regulated institution that uses predictive models for regulatory capital, provisioning, or valuation. Whether you need to validate IFRS 9 ECL models, Basel IRB models, IFRS 17 actuarial models, or valuation models for illiquid assets, the solution provides the independent assurance that auditors and regulators expect.

Not at all. While the validation process itself is deeply quantitative, the outputs are designed to be understood by a wide range of stakeholders — from finance and reporting teams to board members and audit committees.

The solution delivers committee-ready validation reports, audit documentation, and regulator submission templates that translate complex technical findings into clear, actionable insights. You don’t need to be a model developer to understand whether your models are sound, what risks exist, and what remediation is required. The platform handles the heavy lifting and presents results in a language that finance professionals, senior management, and external auditors can all work with.

Model risk is the potential for adverse consequences from decisions based on incorrect or misused model outputs. Regulators worldwide — including the Basel Committee (BCBS 239), the Federal Reserve (SR 11-7), and the GPPC — require financial institutions to have robust model risk management frameworks.

Independent validation is a critical component of that framework. It provides objective assurance that your models are performing as expected and that your organisation isn’t making decisions based on flawed calculations. Without it, you’re exposed to regulatory scrutiny, audit findings, and potentially material financial misstatement. With it, you have defensible, audit-ready documentation that demonstrates you’re in control of your model risk.

The solution validates a comprehensive range of models across IFRS, Basel, and valuation frameworks:

• IFRS 9 Models— PD term structure (PIT/TTC), LGD, EAD, stage allocation, SICR triggers, and forward-looking overlays
• Basel Models— IRB PD/LGD/EAD, market risk VaR, operational risk AMA, stress testing, ICAAP/ILAAP
• IFRS 17 Models— CSM calculation, risk adjustment, discount curves, cash flow projections, coverage units
• Valuation Models— Risk-adjusted returns, illiquidity premiums, beta estimation, VaR calculation, fair value mapping
• Other Risk Models— Credit scoring, behavioural models, prepayment models, fraud detection, concentration risk

Over 3,000 predictive models have been validated through this framework across 40+ countries.

The validation programme follows a structured six-phase methodology aligned with SR 11-7 and BCBS 239 standards:

1. Model Inventory— Catalog all models, classify risk, assign validation frequency and ownership
2. Conceptual Soundness— Review underlying theory, assumptions, and literature alignment
3. Ongoing Monitoring— Track performance, detect drift, benchmark against peers, trigger alerts
4. Outcomes Analysis— Backtest model predictions against actual outcomes, analyse error and bias
5. Stress Testing— Run parametric and simulated stress scenarios, sensitivity analysis, break-point testing
6. Governance Reporting— Produce committee papers, audit documentation, regulatory submissions, and sign-off letters

For IFRS 9 ECL models specifically, validation covers six technical pillars: PD term structure validation, LGD collateral analysis, EAD exposure bucketing, forward-looking overlay review, staging and SICR trigger testing, and disclosure and audit readiness.

The solution applies industry-standard statistical tests with clear acceptance criteria:

• Binomial Test— Tests PD calibration accuracy (p-value > 0.05) to confirm model predictions align with realised defaults
• Hosmer-Lemeshow— Tests model discrimination across deciles to verify predicted vs. actual alignment
• ROC-AUC— Tests rank-ordering power (AUC > 0.70) to confirm the model can separate defaulters from non-defaulters
• PSI (Population Stability Index)— Tests score distribution stability (PSI < 0.25) to confirm the model population remains stable over time
• Kolmogorov-Smirnov— Tests distribution comparison to measure maximum separation between good and bad distributions
• T-Test (LGD/EAD)— Tests mean comparison to confirm predicted vs. realised mean differences are not significant

Every test has documented pass-fail criteria established upfront, with exceptions governed by a challenger-model review panel. The results are fully transparent and auditable.

Yes. The solution validates Basel models across all three Pillars:

• Pillar 1— IRB PD/LGD/EAD models for credit risk, VaR models for market risk, AMA/SMA models for operational risk
• Pillar 2— Stress testing models, ICAAP capital adequacy models
• Pillar 3— Disclosure models and reporting frameworks

The validation framework is aligned with BCBS 239 on risk data aggregation, SR 11-7 on model risk management, and local regulatory expectations across 40+ countries. Over 50 regulatory sign-offs have been achieved to date

No — and that’s the point. Independence is the fundamental principle of model validation. The team that develops a model must not be the same team that validates it, to avoid conflicts of interest and ensure objective, unbiased assessment.

Our Model Validation Solution provides truly independent testing and governance. Validation is conducted by separate quantitative specialists who were not involved in model development, with full challenger-model review processes. This independence is what gives auditors, regulators, and senior management confidence in the validation findings.

Engagement timelines vary based on model complexity and portfolio size, but the solution is designed for efficiency. The validation framework is cloud-native and leverages pre-configured templates, with most standard engagements completing in 4–8 weeks — a significant improvement compared to the months often required with traditional consulting approaches.

Deliverables include:

• Committee-ready validation reports— Board and audit committee papers with clear findings and recommendations
• Big 4 audit documentation— Query templates and evidence packs for external auditor sign-off
• Regulator submission templates— Format-ready files for your supervisor
• Reconciliation packs— IFRS 7 disclosure reconciliation and GPPC-compliant exports
• Monitoring dashboards— Ongoing performance tracking and drift detection

Under IFRS 9, auditors expect to see evidence that ECL models have been independently validated and reviewed for effectiveness and accuracy. Unlike the old IAS 39 incurred-loss approach, IFRS 9 validation is forward-looking by construction.

A complete IFRS 9 validation engagement must confirm that point-in-time PD term structures, lifetime LGD, exposure bucketing, SICR triggers, and probability-weighted macroeconomic overlays continue to produce ECL outputs that are unbiased, reproducible, and appropriate for the current and projected economic environment.

Our solution has achieved over 200 Big 4 audit approvals with a 100% first-time approval rate on IFRS 9 reviews. Validation reports are aligned with Big 4 audit expectations, BCBS 239, SR 11-7, and GPPC Credit Risk Modelling Group guidance.