The Broker-Dealer Model Risk Validation Playbook

Description

What is the The Broker-Dealer Model Risk Validation course about?

Build defensible SR 11-7 validation evidence for market, credit, and AML models without rebuilding the whole MRM stack each cycle. One model in the inventory keeps generating follow-up questions from MRM and the exam team. The backtest numbers are technically inside the band, but the validation memo cannot quite close. This course gives the risk analytics manager the validation package shape, the.

What does the The Broker-Dealer Model Risk Validation cover on the Broker-Dealer Model Risk Validation Playbook?

Why this course?

What do you take away from the The Broker-Dealer Model Risk Validation course?

Produce an SR 11-7 validation evidence package that closes the first review cycle for market, credit, AML, and ML scoring models. Run a backtest exception log with disposition codes that map cleanly to the validation memo and the ongoing monitoring report. Build a challenger model comparison that satisfies the benchmark requirement without becoming a second production model. Translate sensitivity and stress tests.

What you get with this course?

Twelve self-paced written modules with worked validation memos, exception logs, and monitoring templates. The full SR 11-7 validation memo template covering conceptual soundness, ongoing monitoring, outcomes analysis, and benchmarking. Backtest exception log, traffic-light dashboard, and disposition-code workbook for market risk models. Calibration, stability, and rank-order test workbooks for PD and LGD models. Above-the-line and below-the-line scenario testing pack for AML transaction monitoring.

What you will have in hand by Day 1, Week 1, Month 1?

Within 24 hours of purchase: full course access in the Art of Service learning environment, all twelve module workbooks downloadable, and the hand-built implementation playbook tuned to your model mix and validation cycle dates. Week one: complete the inventory tiering and validation memo template population for one priority model. Weeks two to six: rotate through market risk, credit, AML, and ML modules.

What does the The Broker-Dealer Model Risk Validation cover on before and after?

The validation memo on at least one model keeps coming back with a new MRM follow-up. Backtest exceptions are inside the band but the disposition log lives in email. Challenger work is run but not written up. The next examination cycle starts in a quarter and the evidence package will not be ready without overtime. Every model in the inventory has the.

What happens if you do not address this?

A regulator-facing model summary that does not pre-empt the obvious follow-up questions becomes a written finding. One written finding on model risk management makes the next cycle harder and the cycle after that harder still. The risk analytics manager who owns the package is also the person the finding lands on.

More answers: what you get with every course, refund policy, all help answers.

A focused course, tailored for you

The Broker-Dealer Model Risk Validation Playbook

Build defensible SR 11-7 validation evidence for market, credit, and AML models without rebuilding the whole MRM stack each cycle.

One model in the inventory keeps generating follow-up questions from MRM and the exam team. The backtest numbers are technically inside the band, but the validation memo cannot quite close. This course gives the risk analytics manager the validation package shape, the challenger evidence, and the regulator-facing summary so that loop closes the first time.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Risk analytics managers inside a US broker-dealer carry a model inventory that spans market risk (VaR, expected shortfall, stress P&L), retail credit (PD, LGD, EAD on margin lending and pledged-asset lines), AML transaction monitoring scenarios, and an expanding set of ML-assisted scoring layers (next-best-action, propensity, fraud signals). Every one of those models has to clear SR 11-7 ongoing monitoring, periodic revalidation, and the OCC and SEC examination cycles. The build is usually fine. What is not fine is the validation evidence package. Backtest exception logs that don't tie to a disposition record. Challenger model comparisons that are run but never written up. Sensitivity tests that exist as notebooks but not as memos. Use-test evidence that lives in trader email threads. The exam team asks for the package, the second-line MRM function escalates, and the risk analytics manager spends a quarter retro-fitting evidence to a model that was already performing well. This course is the package shape, end to end, for the four model families a broker-dealer risk analytics manager owns.

What you walk away with

Produce an SR 11-7 validation evidence package that closes the first review cycle for market, credit, AML, and ML scoring models.
Run a backtest exception log with disposition codes that map cleanly to the validation memo and the ongoing monitoring report.
Build a challenger model comparison that satisfies the benchmark requirement without becoming a second production model.
Translate sensitivity and stress tests into validation evidence rather than orphan notebooks.
Hand the regulator a one-page model summary that pre-empts the predictable follow-up questions.

The 12 modules

Module 1. Model inventory and tiering for a broker-dealer book

The starting inventory across market risk VaR and expected shortfall, retail credit PD and LGD on margin and pledged-asset products, AML transaction monitoring scenarios, and ML-assisted scoring. Tier each model by materiality and complexity using a defensible rubric the MRM function and the examination team both accept. Includes a worked inventory template covering 40 typical broker-dealer models with tier assignments, validation cadence, and ownership.

Module 2. SR 11-7 validation evidence package, end to end

The full package shape: conceptual soundness, ongoing monitoring, outcomes analysis, and benchmarking. What each section actually contains, what the second-line MRM function looks for, and what the OCC, SEC, or Federal Reserve examiner reads first. Includes a 30-page validation memo template with the four mandatory sections pre-structured and worked examples for a market-risk VaR model.

Module 3. Market risk VaR and expected shortfall backtesting that closes

Daily P&L versus VaR backtest, traffic-light zones, exception counting under the Basel framework, expected shortfall validation under the FRTB-aligned approach. The disposition log that ties each exception to a recorded explanation a regulator will accept. Includes backtest exception log template, traffic-light dashboard, and worked exception-disposition entries for a typical broker-dealer trading book.

Module 4. Retail credit PD and LGD validation for margin and pledged-asset lending

Discriminatory power tests, calibration tests, stability tests, and rank-order tests for PD models on margin loans and pledged-asset lines of credit. LGD validation when historical loss data is thin. Concentration and seasonality adjustments. Includes a calibration test workbook, stability monitoring template, and a worked LGD validation memo for a low-default portfolio.

Module 5. AML transaction monitoring scenario validation

Above-the-line and below-the-line testing for AML scenarios. Threshold tuning evidence the BSA officer and the regulator will both sign off on. Productivity metrics, SAR conversion rates, and the disposition trail. Includes scenario validation memo template, threshold tuning workbook, and a worked above-the-line and below-the-line testing pack for a structuring scenario.

Module 6. ML-assisted scoring layers under model risk management

How SR 11-7 expectations land on ML scoring layers including next-best-action, propensity, fraud signal, and any LLM-assisted classification. Feature-attribution evidence, bias and fairness testing, monitoring for population drift, and the explainability documentation the MRM function expects before sign-off. Includes ML model validation memo template and a population-drift monitoring template.

Module 7. Challenger models that satisfy the benchmark requirement

The challenger model approach that satisfies SR 11-7 benchmarking without becoming a second production system. Choosing the right challenger family for VaR, PD, scenario, and ML models. Performance comparison that holds up to examination questioning. Includes challenger model selection framework, comparison memo template, and worked challenger memos for the three most common broker-dealer model types.

Module 8. Sensitivity and stress testing as validation evidence

Sensitivity tests, stress runs, and reverse stress tests that produce validation evidence, not just dashboards. How to write the stress test memo so it lands in the validation package and survives the next regulatory review. Includes sensitivity test specification template, stress scenario library covering rate shocks, equity drawdowns, credit spread widening, and liquidity stress, and the regulator-facing summary format.

Module 9. Ongoing monitoring reports that pre-empt examination questions

Monthly and quarterly monitoring dashboards that connect daily backtest results to validation conclusions. The escalation thresholds that trigger an interim revalidation. The format that prevents the second-line MRM function from asking for a custom view every cycle. Includes monitoring dashboard template, escalation threshold workbook, and a worked quarterly monitoring report for a market-risk model.

Module 10. Model governance, change management, and use-test evidence

The governance log that captures every model change, the approval trail, and the use-test evidence that proves traders, lenders, or operations actually rely on the model output. Pulling use-test evidence out of email threads and into the governance record. Includes governance log template, change management workflow, and use-test attestation template.

Module 11. Examination-readiness and the regulator-facing summary pack

The one-page model summary that the OCC, SEC, FINRA, or Federal Reserve examiner reads first. The supporting evidence pack structure. How to handle predictable follow-up questions before they become written findings. Includes a one-page model summary template, an examination-readiness checklist, and a worked response pack for a high-materiality VaR model.

Module 12. The annual revalidation cycle without a fire drill

Sequencing the revalidation calendar across 15-60 models so the second-line MRM function, the model owners, and the examination team all see predictable cadence rather than quarter-end scrambles. Capacity planning, evidence reuse, and the validation hand-off template. Includes annual revalidation calendar template, capacity planning workbook, and a hand-off template between the risk analytics team and the MRM second line.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

The backtest exception log keeps reopening on one VaR model: modules 3, 7, 9.

Challenger model comparison exists in notebooks but not in the validation memo: modules 2, 7.

AML scenario tuning evidence cannot satisfy the BSA officer and the regulator at the same time: module 5.

An ML scoring layer is being introduced and the MRM function will not sign off on the documentation: modules 6, 10.

What you get with this course

Twelve self-paced written modules with worked validation memos, exception logs, and monitoring templates.
The full SR 11-7 validation memo template covering conceptual soundness, ongoing monitoring, outcomes analysis, and benchmarking.
Backtest exception log, traffic-light dashboard, and disposition-code workbook for market risk models.
Calibration, stability, and rank-order test workbooks for PD and LGD models.
Above-the-line and below-the-line scenario testing pack for AML transaction monitoring.
Challenger model selection framework and comparison memo template.
Sensitivity and stress test specification templates with a worked broker-dealer scenario library.
Examination-readiness one-pager and follow-up response pack.
Hand-built implementation playbook tailored to your model inventory and cycle dates.

What you will have in hand by Day 1, Week 1, Month 1

Week one: complete the inventory tiering and validation memo template population for one priority model.

Weeks two to six: rotate through market risk, credit, AML, and ML modules at the pace the next examination calendar requires.

Ongoing: the templates and dashboards stay yours for every future revalidation cycle.

Before and after

Before

After

Every model in the inventory has the same validation memo shape, the same exception log discipline, and the same one-page regulator summary. The second-line MRM function and the examination team both see predictable cadence. The annual revalidation calendar runs without a fire drill.

What happens if you do not address this

Who it is for

Risk analytics or model validation manager inside a US broker-dealer, retail brokerage, or asset manager. Carries a model inventory of 15-60 models spanning market risk, credit risk, AML, and ML-assisted scoring. Reports into a CRO, Chief Model Risk Officer, or Head of Model Risk Management. Owns the validation evidence package the second-line MRM function and the OCC, SEC, FINRA, or Federal Reserve examination teams see.

Who this is NOT for. Not for pure quant model developers who build but do not own validation evidence. Not for second-line MRM heads who own policy but not the model. Not for general financial-risk consultants without hands-on backtest, challenger, and validation memo work.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. Roughly 18 to 24 hours total across the twelve modules. Most risk analytics managers complete it over four to six weeks at three to five hours per week, aligned to the revalidation cadence.

Why $199 is the right number

A model risk advisory engagement from a top consulting firm starts at the low six figures and ends with a slide deck rather than a populated set of validation memos and exception logs. A vendor MRM platform addresses workflow but does not write the validation memo for you. This course delivers the populated templates, worked examples for the four model families a broker-dealer risk analytics manager actually owns, and a hand-built implementation playbook for the price of a single advisory hour.

FAQ

Does this cover Federal Reserve SR 11-7 expectations specifically, or only general practice?

Specifically. The validation memo template, ongoing monitoring report, and benchmarking section are mapped to the four pillars of SR 11-7. The course also references the equivalent OCC, SEC, and FINRA examination expectations for broker-dealer model inventories.

Our model inventory includes ML scoring layers the MRM function has never validated before. Is that covered?

Module 6 is dedicated to ML-assisted scoring under model risk management, including feature-attribution evidence, bias testing, population-drift monitoring, and the explainability documentation the second-line MRM function expects before sign-off.

Can I share the templates with other risk analytics managers on my team?

Yes. The license covers your team. The templates and workbooks are yours to reuse across the model inventory.

What is the hand-built implementation playbook?

After purchase the playbook is tailored to your model inventory mix, your second-line MRM function's preferred memo format, and the next examination cycle on your calendar. Delivered alongside course access in the learning environment.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.