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The Auto Lending Risk SME Loss-Forecast Playbook

$201.00
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What is the The Auto Lending Risk SME Loss-Forecast course about?

Build the dealer-channel loss-forecast, CECL overlay, and exam-ready credit narrative an Auto Lending Risk SME owns end to end. The dealer-channel loss build came in 14 bps over the roll-rate stack. The credit committee wants a one-page reconciliation. The CECL working group wants the Q-factor memo updated. The exam team wants the same narrative without contradictions. The Risk Management SME owns all.

Why this course?

Auto Lending Risk SMEs sit at the join of dealer credit, used-car residual risk, repo-and-recovery economics, and the bank-wide CECL overlay. The loss-forecast that the credit committee signs has to reconcile to the bottom-up dealer-tier roll-rate stack, the macroeconomic Q-factor overlay, and the recovery-curve assumption coming off the auction channel. When any one of those three moves, the SME is the person.

What do you take away from the The Auto Lending Risk SME Loss-Forecast course?

Build a dealer-tier roll-rate model that reconciles to the macro Q-factor overlay within a defensible tolerance. Produce a CECL Q-factor memo the working group accepts without a second round of edits. Construct a used-car residual sensitivity that holds up under exam team scrutiny. Draft the one-page credit committee reconciliation that closes a roll-rate vs overlay gap. Carry one coherent loss-forecast narrative across.

What you get with this course?

12 written modules in the Art of Service learning environment. Downloadable templates: dealer-tier roll-rate model, Q-factor memo, residual sensitivity worksheet, repo-and-recovery curve, one-page committee reconciliation, exam request-list response binder. Worked examples for improving, worsening, and macro-driven quarterly scenarios. Hand-built implementation playbook tuned to the buyer's dealer mix, book size, and quarterly cycle. 30-day satisfaction guarantee.

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

Within 24 hours: learning environment account provisioned, all 12 modules unlocked, templates downloadable, hand-built implementation playbook delivered alongside course access.

What does the The Auto Lending Risk SME Loss-Forecast cover on before and after?

Owning the auto loss-forecast feels like rebuilding the reconciliation from scratch every quarter, fielding the same exam questions every cycle, and explaining the same Q-factor edits to the working group twice. The quarterly cycle runs to a fixed cadence with one defined artefact at each step, the committee reconciliation takes hours instead of days, and the exam team's request list closes in.

What happens if you do not address this?

Without a coherent dealer-tier-to-committee narrative, every quarter's variance becomes a fresh investigation, every exam cycle reopens settled assumptions, and the SME spends Q3 explaining Q1 instead of building the next forecast.

Who it is for?

An Auto Lending Risk SME inside a US bank's consumer credit risk function, accountable for the auto-loan loss-forecast, the CECL Q-factor overlay for auto, dealer-channel credit quality monitoring, and the exam-ready credit narrative that goes to the OCC. Likely has five plus years in auto credit risk, owns the quarterly committee deck, and is the person the CFO's office calls when the.

Closely related courses: Commercial Auto Underwriting Optimization Playbook, The ABL LOB Risk Lead Playbook.

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

A focused course, tailored for you

The Auto Lending Risk SME Loss-Forecast Playbook

Build the dealer-channel loss-forecast, CECL overlay, and exam-ready credit narrative an Auto Lending Risk SME owns end to end.

The dealer-channel loss build came in 14 bps over the roll-rate stack. The credit committee wants a one-page reconciliation. The CECL working group wants the Q-factor memo updated. The exam team wants the same narrative without contradictions. The Risk Management SME owns all three.

$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

Auto Lending Risk SMEs sit at the join of dealer credit, used-car residual risk, repo-and-recovery economics, and the bank-wide CECL overlay. The loss-forecast that the credit committee signs has to reconcile to the bottom-up dealer-tier roll-rate stack, the macroeconomic Q-factor overlay, and the recovery-curve assumption coming off the auction channel. When any one of those three moves, the SME is the person who has to explain why the headline number did or did not move with it. The exam team reads the same artefacts and expects every assumption to be source-grounded, repeatable, and traceable from raw vintage data through to the committee memo. The pain is not building any one of the pieces. The pain is keeping them telling one coherent story across the credit committee, the CECL working group, the model risk validators, and the heightened-standards exam team, on a quarterly cycle that never slows down.

What you walk away with

  • Build a dealer-tier roll-rate model that reconciles to the macro Q-factor overlay within a defensible tolerance.
  • Produce a CECL Q-factor memo the working group accepts without a second round of edits.
  • Construct a used-car residual sensitivity that holds up under exam team scrutiny.
  • Draft the one-page credit committee reconciliation that closes a roll-rate vs overlay gap.
  • Carry one coherent loss-forecast narrative across credit committee, CECL working group, model risk, and the OCC heightened-standards exam team.

The 12 modules

Module 1. The Auto Risk SME's quarterly cycle
Maps the full quarterly cycle a Risk Management SME owns for an auto book: vintage data refresh, dealer-tier roll-rate run, residual sensitivity, recovery curve update, Q-factor overlay sync, credit committee deck, CECL working group memo, and exam-team follow-ups. Names the artefacts produced at each step and the audience that consumes them, so nothing is built twice and nothing falls between the desks.
Module 2. Dealer-tier roll-rate construction
Walks the build of a dealer-tier roll-rate model from vintage-curated raw data: tier definitions, delinquency-to-charge-off transition matrices, seasoning curves, and the segmentation cut that separates franchise dealers from independent. Includes the downloadable roll-rate template, the dealer-tier cut documentation that satisfies model risk, and the reconciliation worksheet that ties the bottom-up output to the headline loss-forecast.
Module 3. Used-car residual sensitivity that holds under exam
Builds the residual sensitivity layer auto loss-forecasts depend on. Covers Manheim-anchored residual curves, regional auction adjustments, the off-lease return wave timing, and the stress overlay the exam team expects to see when used-car values move 8 percent in a quarter. Includes a worked example carrying a 6 percent residual drop through to a defensible reserve movement.
Module 4. Repo and recovery curve economics
The recovery side of auto loss-forecasting that often gets a single assumption and a wave of follow-up exam questions. Walks the construction of a repo timing curve, auction proceeds curve, deficiency-balance recovery curve, and the tax-and-fee netdown the SME has to defend. Names the data sources auditors want and the reconciliation that ties the recovery assumption to actual collections experience.
Module 5. The CECL Q-factor memo the working group accepts
Writes the CECL qualitative overlay memo for auto end to end. Covers the Q-factor inventory the working group expects, the source-grounding standard each factor has to clear, the change-control log between quarters, and the language that survives both committee challenge and exam review. Includes a template Q-factor memo and the reviewer-by-reviewer checklist that closes second-round edits.
Module 6. Macroeconomic overlay and the SR 11-7 model risk handshake
Handles the macro overlay layer where auto-specific risk meets enterprise economic forecasting. Walks the use of the bank's S1/S3/S4 scenarios, the auto-channel sensitivities the SME maintains, and the SR 11-7 conversation with model risk on overlay components vs core model output. Names the documentation that satisfies validators without forcing a re-run of the core model.
Module 7. Dealer-channel credit quality monitoring
The proactive watchtower a Risk Management SME runs between forecast cycles. Covers dealer-level early warning indicators, tier-migration triggers, application-quality drift, fraud-pattern flags, and the dealer-exit checklist. Includes the monthly dealer-quality dashboard template and the rules for when a dealer tier change feeds back into the next quarter's loss-forecast.
Module 8. The credit committee one-page reconciliation
When the headline loss number diverges from the bottom-up build, the SME owes the committee a one-page explanation. Walks the construction of that page: the waterfall from prior quarter to current, the contribution of each driver, the residual-vs-recovery contribution split, the Q-factor delta, and the language the CRO will repeat verbatim. Includes three worked examples covering improving, worsening, and macro-driven scenarios.
Module 9. OCC heightened-standards exam preparation
What the heightened-standards exam team asks for, in what order, and what survives challenge. Covers the request-list pattern, the evidence package that closes each request in one round, the SR 16-11 risk appetite alignment, the credit narrative that ties the loss-forecast to the auto risk appetite metrics, and the supporting binders. Names the gaps exam teams routinely surface and how to pre-close them.
Module 10. Stress testing the auto book
DFAST-aligned stress testing for the auto book specifically. Walks the construction of stress scenarios that respect the dealer-tier roll-rate model rather than overriding it, the residual stress that reflects a downturn used-car market, the unemployment-to-delinquency elasticity for the auto borrower mix, and the stress reserve disclosure language. Includes the stress-results reconciliation worksheet and the audit trail that withstands enterprise stress-test review.
Module 11. Recoveries, charge-off policy, and the audit trail
The accounting-adjacent layer where credit risk meets the auditors. Covers charge-off timing policy, the recovery cash-application standard, the gross vs net presentation choice and its committee implications, and the audit trail the external auditors and exam team both reconcile against. Names the three points where Risk SMEs typically lose hours to clarification questions and how to pre-empt each.
Module 12. Carrying one coherent narrative across all four audiences
Closes the course by walking the same loss-forecast through all four audiences end to end: credit committee, CECL working group, model risk validators, and the OCC heightened-standards exam team. Shows where each audience reads the artefact differently, where the language has to change, and where it must not change. Ends with the quarterly narrative checklist that prevents the cross-audience drift that gets SMEs called into follow-up meetings.

How this addresses your situation

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

Quarter-end loss-forecast comes in materially different from the bottom-up roll-rate, and the credit committee wants a one-page reconciliation in 48 hours.
CECL working group rejects the Q-factor memo for source-grounding gaps, and the auto SME has one cycle to close them before the financial close window.
OCC heightened-standards exam team issues a request list on dealer-tier credit quality, residual sensitivity, and recovery assumptions, with a five-business-day clock.
Used-car residual values move materially in a quarter, and the SME has to carry the consequence through the loss-forecast, the reserve, and the committee narrative without contradicting model risk's view.

What you get with this course

  • 12 written modules in the Art of Service learning environment.
  • Downloadable templates: dealer-tier roll-rate model, Q-factor memo, residual sensitivity worksheet, repo-and-recovery curve, one-page committee reconciliation, exam request-list response binder.
  • Worked examples for improving, worsening, and macro-driven quarterly scenarios.
  • Hand-built implementation playbook tuned to the buyer's dealer mix, book size, and quarterly cycle.
  • 30-day satisfaction guarantee.

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

Within 24 hours: learning environment account provisioned, all 12 modules unlocked, templates downloadable, hand-built implementation playbook delivered alongside course access.

Before and after

Before

Owning the auto loss-forecast feels like rebuilding the reconciliation from scratch every quarter, fielding the same exam questions every cycle, and explaining the same Q-factor edits to the working group twice.

After

The quarterly cycle runs to a fixed cadence with one defined artefact at each step, the committee reconciliation takes hours instead of days, and the exam team's request list closes in one round because each artefact is source-grounded and traceable.

What happens if you do not address this

Without a coherent dealer-tier-to-committee narrative, every quarter's variance becomes a fresh investigation, every exam cycle reopens settled assumptions, and the SME spends Q3 explaining Q1 instead of building the next forecast.

Who it is for

An Auto Lending Risk SME inside a US bank's consumer credit risk function, accountable for the auto-loan loss-forecast, the CECL Q-factor overlay for auto, dealer-channel credit quality monitoring, and the exam-ready credit narrative that goes to the OCC. Likely has five plus years in auto credit risk, owns the quarterly committee deck, and is the person the CFO's office calls when the loss number moves more than the macro forecast suggests it should.

Who this is NOT for. Not for retail collections managers, not for dealer-relationship sales staff, not for general consumer-credit analysts without auto-book responsibility, and not for model validators (this course is the builder's view, not the validation view).

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. Ten to fourteen hours of focused reading and template work to complete the core build, plus the time the buyer spends adapting templates to their own dealer mix and book.

Why $199 is the right number

The free CECL guidance from the regulators is principles-only and does not name dealer-tier artefacts, residual curves, or repo-and-recovery economics. Big-four advisory engagements cover this scope at six figures and produce decks. This course produces the working artefacts a Risk Management SME uses every quarter, at 199 USD, with the implementation playbook keyed to the buyer's specific dealer mix.

FAQ

Is this course generic CECL or auto-specific?
Auto-specific. Every module is built around the dealer-tier roll-rate stack, used-car residuals, repo-and-recovery economics, and the auto-channel Q-factor overlay. CECL is covered only as it applies to the auto book.
Do I need access to the bank's modeling platform to apply the material?
No. The templates are spreadsheet-anchored and platform-agnostic. The hand-built implementation playbook is keyed to the buyer's book size and dealer mix, not to a specific modeling tool.
Does the course cover indirect-channel dealer relationships, or only direct?
Indirect (dealer-originated) is the focus, because that is where the SME's roll-rate, residual, and recovery work concentrates. Direct origination is covered where it affects the committee narrative.
How is the implementation playbook tailored?
The buyer shares dealer mix, book size, and current quarterly cycle. The playbook is built around those specifics, then delivered alongside course access.

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.