Samples

Sample reports

One example report for each type of model, as a real PDF you can open or download.

Credit risk — corporate PD

SR 26-2 model validation memo

Corporate PD Model v3.2. 4,000 corporate obligors, replicated from the declared specification and stressed across four illustrative scenarios.

May be relied upon, with conditions

12 pages · 12 sections · 3 finding(s) · 26 named as not performed · 392 KB

memo 3606d16b231438c9

Machine learning — application scorecard

SR 26-2 model validation memo

Application Scorecard Challenger v4. A scored application book with outcomes, score bands, segments and a stability window.

May be relied upon, with conditions

10 pages · 12 sections · 2 finding(s) · 19 named as not performed · 367 KB

memo c71ca71ff0e5bfe3

EU AI Act — Annex IV technical file

EU AI Act high-risk system dossier

Application Scorecard Challenger v4. The same scored book as the ML sample, under a declared EU supervisor — so the same evidence becomes the Annex IV dossier.

May be relied upon, with conditions

9 pages · 10 sections · 2 finding(s) · 19 named as not performed · 364 KB

memo fde7c63518038aed

IRB — ECB TRIM rating system review

ECB TRIM / CRR IRB validation

Corporate PD Rating System v3.2. A graded corporate population read against its declared master rating scale, grade by grade.

May be relied upon, with conditions

7 pages · 10 sections · 1 finding(s) · 15 named as not performed · 351 KB

memo dc733e0d7676b2bf

Fraud — card transaction scoring

Fraud model validation, with the PSD2 reference rate

Card Fraud Scorer v7.1. 20,000 scored card transactions with matured fraud labels.

Inconclusive — the evidence is insufficient

6 pages · 10 sections · 0 finding(s) · 9 named as not performed · 333 KB

memo d5ea6546ec78795a

AML — transaction monitoring scenarios

Transaction monitoring scenario validation

Transaction Monitoring Scenario Suite v6. 6,580 alerts across five scenarios, with a reviewed below-the-line sample.

Inconclusive — the evidence is insufficient

7 pages · 9 sections · 0 finding(s) · 7 named as not performed · 331 KB

memo 44c99e7131e25e13

Market risk — VaR back-testing (FRTB)

FRTB back-testing and P&L attribution

Desk A VaR Model v2.4. A desk's daily VaR forecasts against actual and hypothetical P&L.

May be relied upon, with conditions

8 pages · 10 sections · 2 finding(s) · 6 named as not performed · 367 KB

memo ad9a53b22715de25

Generative AI — policy assistant

NIST AI RMF evaluation

Policy Assistant 2.1. Assistant traces with judged claims, planted contradictions and a judge measured against an anchor set.

May be relied upon, with conditions

13 pages · 8 sections · 4 finding(s) · 23 named as not performed · 400 KB

memo c1035073cf033d99

Generative AI — governance life cycle

GenAI system assurance pack

Policy Assistant 2.1. The same assistant drawn ten times per prompt under a pinned system record, scored against the bank's expert benchmark.

May be relied upon, with conditions

10 pages · 8 sections · 4 finding(s) · 10 named as not performed · 379 KB

memo f55860189cf688c4

Insurance — claim severity

Actuarial model validation

Motor & Property Severity GBM v6. Closed motor and property claims, predicted against settled cost, by band and region.

Inconclusive — the evidence is insufficient

8 pages · 7 sections · 0 finding(s) · 8 named as not performed · 350 KB

memo 618e183827bb24a4

IRRBB — behavioural deposit and prepayment assumptions

Interest rate risk in the banking book

Behavioural NMD & Prepayment Suite v4. Deposit and mortgage cohorts, modelled against realised balances over 36 months.

May be relied upon, with conditions

8 pages · 12 sections · 3 finding(s) · 4 named as not performed · 348 KB

memo 2c21e071f5549923

Funding and liquidity — ILAAP outflow assumptions

ICAAP / ILAAP assumption review

ILAAP Behavioural Assumption Set 2026. Funding by counterparty class, assumed outflow and rollover rates against realised behaviour.

May be relied upon, with conditions

7 pages · 12 sections · 2 finding(s) · 4 named as not performed · 346 KB

memo 79ebd982ca9ba647

Prepared 2026-10-07. Each card shows a fingerprint (hash) tying it to the exact report it came from, so a sample can't quietly go out of date. A sample report is a recommendation based on made-up data — it is never a certificate.