The audit trail behind data-driven underwriting matters as much as the decision itself. Capital, liquidity and reputation are all exposed by weak handling of the financial and banking practice discipline. The programme uses small-group work so that each participant's treatment of this strand of financial and banking practice is examined, not just described. The programme converts data-driven underwriting from an area of general awareness into a set of repeatable practices. The difficulty is not agreeing that this aspect of financial and banking practice matters — it is deciding what to stop doing to make room for it. Participants gain a realistic view of what this part of financial and banking practice costs and what it returns. It is pitched for practitioners with responsibility for data-driven underwriting, not for observers of it. Post-incident reviews keep identifying weaknesses in this aspect of financial and banking practice that were visible long before the incident. Participants leave with a first-ninety-days plan for the practice within financial and banking practice rather than a set of notes.
Expected Learning Outcomes
✓
Build the control framework around data-driven underwriting that an examiner would accept.
✓
Document the approval chain for exceptions to policy on data-driven underwriting.
✓
Select indicators that show whether data-driven underwriting is improving, and reject those that only look useful.
✓
Review the contractual and legal exposure created by data-driven underwriting.
✓
Define the scope and boundaries of data-driven underwriting so that responsibility for it is unambiguous.
✓
Assess the concentration risk building up inside data-driven underwriting.
✓
Build a concise control framework for data-driven underwriting that colleagues can follow without further explanation.
Who Should Attend
✓
Financial technology and change staff modernising data-driven underwriting.
✓
Credit and underwriting officers assessing data-driven underwriting.
✓
Department heads accountable for the results of data-driven underwriting.
✓
Board risk committee members overseeing data-driven underwriting.
✓
Relationship and product managers whose targets depend on data-driven underwriting.
✓
Experienced practitioners formalising an approach to data-driven underwriting that has grown up informally.
Course Modules
Open any module to see its sessions and topics.
01
Data-driven underwriting: audit evidence and examiner readiness
2 sessions · 8 points
Session 1Setting a limit on data-driven underwriting that will actually be respected
Identify single points of dependency in data-driven underwriting and reduce them.
Define the trigger that would require data-driven underwriting to be redesigned.
Draft the minimum viable control framework for data-driven underwriting.
Agree who signs off data-driven underwriting and record that they did.
Session 2Getting other functions to support data-driven underwriting
Identify where judgement in data-driven underwriting is legitimate and where it is not.
Set out the decisions in data-driven underwriting that require sign-off and by whom.
Record the rationale for each significant choice made about data-driven underwriting.
Decide what will be stopped to create capacity for data-driven underwriting.
02
Data-driven underwriting: measurement, models and their assumptions
2 sessions · 8 points
Session 1What a supervisor will ask about data-driven underwriting, and in what order
Set escalation thresholds for data-driven underwriting that work out of hours.
Close out actions on data-driven underwriting rather than leaving them open indefinitely.
Assess the capital consumed by data-driven underwriting under current and stressed conditions.
Map the handovers in data-driven underwriting between functions and secure them.
Session 2Escalation and decision rights in data-driven underwriting
Test data-driven underwriting against a scenario the organisation would rather not model.
Check the accounting treatment applied to data-driven underwriting against current standards.
Translate the appetite for data-driven underwriting into limits someone monitors daily.
Agree the smallest change to data-driven underwriting that would be visibly useful.
03
Data-driven underwriting: regulatory obligation and supervisory expectation
2 sessions · 8 points
Session 1Handling a breach of policy on data-driven underwriting properly
Document the remediation plan for each known weakness in data-driven underwriting.
Set early warning indicators for data-driven underwriting with defined action thresholds.
Build the internal briefing that explains data-driven underwriting to those affected.
Review the pricing of data-driven underwriting against the risk being assumed.
Session 2Evidencing that data-driven underwriting worked as designed
Design the exception process for data-driven underwriting and require a documented rationale.
Check the legal and contractual exposure created by data-driven underwriting.
Prepare the summary of data-driven underwriting that senior management will read.
Identify the key controls over data-driven underwriting and who tests them.
04
Data-driven underwriting: reporting that supports a decision
2 sessions · 8 points
Session 1The assumption inside the model for data-driven underwriting that nobody revisits
Confirm segregation of duties across initiation, approval and settlement of data-driven underwriting.
Identify the data already collected that bears on data-driven underwriting.
Name a single owner for each element of data-driven underwriting.
Confirm regulatory reporting on data-driven underwriting is complete, timely and reconciled.
Session 2The paperwork for data-driven underwriting that is actually needed
Review concentration by counterparty, sector and geography inside data-driven underwriting.
Confirm client due diligence standards applied to data-driven underwriting are current.
Agree what will be standardised in data-driven underwriting and what will not.
Confirm reporting on data-driven underwriting reaches the committee that can act on it.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
Workshop or Program Participation
Airport Transfers
Customized Badge
Expert Mentorship (Private Sessions)
Supervision & Secretarial Services
Accredited Certificate of Participation
Complete Training Kit
Coffee Break
Closing Ceremony
Gold Package
At least 3 people
USD1,850
5-night stay in a 5-star hotel
Workshop or Program Participation
Airport Transfers
Customized Badge
Expert Mentorship (Private Sessions)
Supervision & Secretarial Services
Accredited Certificate of Participation
Complete Training Kit
Coffee Break
Closing Ceremony
Complete your registration
We will contact you within one business day to confirm.