Financial Services AI Model Risk Management Template

AI models used in financial services for credit decisions, risk assessment, trading, or fraud detection are classified as High Risk under the EU AI Act and subject to FCA and PRA model risk management guidance. This template covers model validation, explainability, and governance.

Quick Answer

Financial services AI models face a three-layer regulatory requirement: EU AI Act High Risk obligations, PRA/FCA model risk management standards, and GDPR Article 22 explainability. Independent model validation, performance monitoring, and a documented model risk register are mandatory. The FCA's AI Guidance and PRA SS1/23 define the UK standard.

Compliance Checklist (8 items)

Inventory all AI models in production — categorise by use (credit, fraud, trading, customer service) and risk tier
Apply PRA SS1/23 model risk management principles: model identification, risk tiering, validation, and ongoing monitoring
Conduct independent model validation before deployment — challenger model or third-party validation firm
Implement explainability for credit and insurance decision models — GDPR Article 22 requires explanation of automated decisions
Establish model performance monitoring with drift detection — alert on degradation in Gini coefficient, KS statistic, or PSI
Document model limitations, out-of-scope uses, and known biases in a model risk register
Implement a model retirement and replacement process — outdated models must be decommissioned, not left running
Map each AI model to the EU AI Act risk classification and complete conformity assessment for High Risk systems

Penalty if not compliant

FCA can impose unlimited financial penalties and ban individuals from regulated activities. EU AI Act High Risk non-compliance: fines up to €30M or 6% of global turnover. GDPR Article 22 violations for unexplained automated decisions: up to €20M / 4% turnover.

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