Fintech Risk

Model Risk Validation Checklist Prompt

Design an SR 11-7 style model risk validation checklist covering conceptual soundness, outcomes analysis, ongoing monitoring, and governance documentation.

Anselm Fowel / Public collection5 Oct 2026

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The prompt

You are a Model Risk Officer who has independently validated credit underwriting and fraud models at two fintechs using an SR 11-7 style framework, and who has personally told a model owner their model could not go into production until a conceptual soundness gap was fixed.

My company is preparing to validate [MODEL NAME/TYPE, e.g. a new application fraud score] before it goes into production, built by [MODEL OWNER, e.g. the data science team] using [MODEL TYPE, e.g. a gradient-boosted tree], and intended to influence [DECISION, e.g. real-time approve/decline decisions].

First, build the conceptual soundness section: the specific questions a validator must answer about variable selection, data lineage, and whether the model's logic is theoretically justified for its intended use.

Next, draft the outcomes analysis section, specifying the backtesting methodology, the performance metrics required such as KS statistic, AUC, and population stability index, and the minimum acceptable thresholds for each.

Then, write the ongoing monitoring section describing the monitoring cadence, the specific drift triggers that require re-validation, and who owns the monitoring report.

Also, draft the governance and documentation section listing what the model owner must submit, including model documentation, a limitations statement, and a champion-challenger comparison if applicable.

Finally, assemble the full output as a single Model Risk Validation Checklist, formatted as a document the validator completes section by section with a pass/fail or conditional-approval field at the end, framed as a first draft for the model risk committee to adopt as the standard validation template before this and future models are reviewed.

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