The setting
is a buy now, pay later company that offers installment loans at checkout to shoppers and payment tools to merchants. is the pay-over-time financing that merchants add to their checkout.
Refund approval and refund completion are separating for a concentrated merchant group.
Consumer confidence depends on timely credits while merchant access depends on controls that distinguish delay from deterioration.
Who you’d be doing this for
“Our team marked those refunds done, and now shoppers are asking why their money still hasn’t shown up.”
Sahil Gupta · Merchant Payments Manager · a character in this brief
Owns refund operations and settlement for a merchant using promotional financing.
What is at stake
Refund-related disputes have crossed 1.2% for a concentrated group of recently onboarded merchants. You must weigh fast consumer protection against keeping legitimate merchant refunds moving.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- consumer refund confidence vs merchant financing continuity
- fast containment vs evidence-based exceptions
- dispute loss prevention vs legitimate approval volume
Why Affirm
Promotional financing ties merchant refund practices directly to consumer loan servicing and portfolio exposure.
Written with these in mind
Not your kind of problem? 128 more at Affirm, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Affirm. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Analyst II, Credit · no longer posted
- Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants
- Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants
- Analyst II, Full Stack (Credit Analytics) · no longer posted
- Monitoring and interpreting model performance metrics across portfolios
- Monitor portfolio performance and macroeconomic trends that impact loan outcomes; proactively adjust underwriting and marketing strategies to mitigate risk.
- Analytics Manager, Full Stack (Credit Risk) · no longer posted
- Partner with cross-functional teams and be the Credit POC that manages the end-to-end credit strategy for the Shopify portfolio
- Analytics Manager, Full Stack · no longer posted
- Analyst I, Merchant Risk · no longer posted
- Support merchant onboarding and ongoing portfolio monitoring through data analysis, modeling and automation workflows.
- The Merchant Risk Analytics team works cross-functionally with Merchant Underwriting, Compliance, Engineering, and other analytics teams to establish scalable risk management for merchant acquisition and portfolio monitoring.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these is about money moving incorrectly, late, or twice.
One hundred eighty linked retailer accounts could push credit exposure above $4 million as pending seasonal orders clear.
You must weigh fast containment against keeping verified shops able to buy inventory.
Newly approved businesses face vendor-payment blocks while early missed payments rise in the same cohort.
You must decide whether to commit to tighter limits despite conflicting evidence about who is actually deteriorating.
First-order fraud disputes are at 2.4%, leaving brands to pack inventory for orders that may be reversed.
You have to weigh stronger verification against a smooth first purchase for legitimate retailers.
The same setting, from another role
Each is set around Affirm’s Affirm for Merchants, written for a different role. They’re separate briefs, not the same scenario.
A proposed home promotion shares 38% of its sampled audience with an electronics campaign.
You decide whether the prototype drops shoppers already in the electronics campaign itself or leaves each shared shopper for a strategist to keep or exclude.
Open opportunities are being counted under stale territory assignments, distorting the merchant growth view.
You must weigh fast routing changes against preserving reliable opportunity history.
Forecast changes for platform merchants keep arriving with conflicting explanations.
You must decide which evidence AI can match and draft, and which judgments stay with finance reviewers.
Other problems with a similar purpose
In each of these, as in this one, the aim is to build controls against real harm that remain fair to the honest people who get caught in the signal.
Several Washington repair disputes lack the inspection record and written payment rationale the rule requires.
You must weigh rapid claim resolution against a control that can stand up to regulator review.
Washington drivers say they could not find a path to request an in-person inspection after photo-based damage reviews.
You must weigh a defensible remedy against reopening claims that drivers expected to be settled.
Staffing firms cannot consistently tell whether recruiter card spend is operating expense or client-funded activity.
You must weigh pilot learning against controls that remain usable for distributed recruiters.
