Design real-time affordability checks using open banking transaction data within checkout latency constraints.
Finance & Banking
Buy Now Pay Later Credit Risk and Affordability Assessment
Learn to assess affordability and credit risk in buy now pay later lending, covering open banking checks, thin-file scoring, fraud detection, loan stacking, collections and responsible lending obligations.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
Buy now pay later lending approves a credit decision in the seconds a shopper spends at checkout, which forces affordability and fraud checks that traditional consumer credit can complete in days into a radically compressed process, and regulators in the UK, EU and US are now closing the gap that let BNPL grow largely outside consumer credit rules. This course addresses that tension directly. Participants design real-time affordability checks using open banking transaction data, build credit scorecards for thin-file and near-prime consumers who lack a conventional credit history, and calibrate instalment limits to demonstrated repayment capacity rather than guesswork. Fraud sessions cover synthetic identity detection and first-party default patterns specific to small-ticket instalment credit, while a dedicated session addresses loan stacking, where a consumer holds concurrent undisclosed exposure across several providers, and the cross-provider data sharing initiatives emerging to manage it. The course closes on collections strategy for low-value short-tenor debt, responsible lending obligations including vulnerable customer identification, and the unit economics that balance merchant fee income against credit loss, leaving participants able to design a BNPL risk framework that satisfies regulators without destroying checkout conversion.
Expected Learning Outcomes
Build credit scorecards for thin-file and near-prime consumers using alternative data sources.
Detect synthetic identity and first-party fraud patterns specific to small-ticket instalment credit.
Assess loan stacking risk and evaluate cross-provider data sharing arrangements for BNPL exposure.
Design a collections strategy and hardship process appropriate to low-value, short-tenor BNPL debt.
Apply responsible lending obligations, including vulnerable customer identification and clear disclosure.
Model BNPL unit economics balancing merchant fee income against credit loss and funding cost.
Who Should Attend
Credit risk analysts and underwriters building BNPL affordability and scoring models.
Compliance officers tracking UK, EU and US regulatory developments affecting BNPL products.
Product managers designing checkout-integrated instalment credit journeys.
Fraud and identity verification specialists working on real-time application screening.
Collections and recoveries managers handling small-ticket instalment debt portfolios.
Fintech and embedded finance teams partnering with merchants on BNPL offerings.
Course Modules
Select any module to see its sessions and points.
01BNPL Market, Business Model and Regulatory Landscape
2 sessions · 8 points
Session 1BNPL Product Design and Merchant Economics
- Explain the BNPL business model, including merchant discount rates and interest-free instalment repayment schedules.
- Compare pay-in-four, pay-in-thirty-days and longer-term BNPL instalment products and their risk profiles.
- Assess how BNPL checkout integration affects merchant conversion rates and average order value.
- Model the unit economics of a BNPL transaction, weighing merchant fee income against expected credit losses.
Session 2Regulatory Developments in the UK, EU and US
- Track UK Financial Conduct Authority proposals bringing BNPL lending within consumer credit regulation.
- Compare EU Consumer Credit Directive requirements against emerging US state and federal BNPL oversight.
- Assess disclosure and cooling-off requirements that regulators are applying to short-term instalment credit.
- Evaluate compliance implications of extending regulated consumer credit protections to BNPL products.
02Affordability and Credit Risk Assessment
2 sessions · 8 points
Session 1Real-Time Affordability Checks Using Open Banking Data
- Design a real-time affordability check that assesses a consumer's capacity to repay within checkout latency limits.
- Use open banking transaction data to verify income and identify existing debt commitments during underwriting.
- Set soft credit check thresholds that balance approval speed against affordability assessment rigour.
- Build decision rules that decline or limit BNPL exposure for consumers showing signs of financial strain.
Session 2Credit Risk Modelling for Thin-File and Near-Prime Consumers
- Build credit risk scorecards for thin-file and near-prime consumers lacking traditional credit bureau history.
- Apply alternative data sources, such as transaction categorisation, to score consumers with limited credit history.
- Calibrate risk-based instalment limits that scale exposure to a consumer's demonstrated repayment capacity.
- Validate scorecard performance against actual default outcomes and recalibrate as portfolio data accumulates.
03Fraud, Loan Stacking and Data Sharing
2 sessions · 8 points
Session 1Identity Fraud and First-Party Default Detection at Checkout Speed
- Detect identity fraud and synthetic identity applications within the checkout speed constraints of BNPL underwriting.
- Identify first-party fraud patterns where a genuine consumer disputes or defaults on a legitimate purchase.
- Design device and behavioural biometric checks that flag suspicious application patterns without adding friction.
- Balance fraud prevention friction against the checkout conversion rates merchants expect from BNPL providers.
Session 2Loan Stacking Risk and Cross-Provider Data Sharing
- Assess loan stacking risk where a consumer holds concurrent BNPL exposure across multiple providers.
- Evaluate cross-provider data sharing initiatives and credit bureau reporting arrangements for BNPL exposure.
- Design internal exposure limits that account for a consumer's likely undisclosed BNPL commitments elsewhere.
- Assess the trade-off between competitive differentiation and industry-wide data sharing for risk management.
04Collections, Responsible Lending and Unit Economics
2 sessions · 8 points
Session 1Default Management and Collections Strategy for Small-Ticket Credit
- Design a collections strategy for small-ticket instalment defaults that preserves customer relationships where possible.
- Set escalation timelines and communication channels appropriate to short-tenor, low-value BNPL debts.
- Assess the cost-effectiveness of internal collections against third-party debt collection agency referral.
- Structure hardship and repayment plan options for consumers experiencing temporary financial difficulty.
Session 2Responsible Lending Obligations and Unit Economics Management
- Apply responsible lending obligations, including affordability assessment and clear pre-contract disclosure.
- Design vulnerable customer identification processes appropriate to BNPL's largely digital customer journey.
- Model unit economics across a BNPL portfolio, balancing merchant fee revenue against credit loss and funding cost.
- Structure embedded finance partnerships with merchants and marketplaces that align risk and revenue sharing.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
Complete your registration
We will contact you within one business day to confirm.
Ready to start?
Reserve your seat and start building the skill.