How to reduce fraud risk when offering instant finance

Reducing fraud risk on instant finance means verifying identity before approval, checking affordability against real transaction data, watching for behavioural red flags at checkout, and reviewing declined or disputed applications every week. Skip any one of those four steps and the fallout shows up later as chargebacks, stock that never gets paid for, and hours spent chasing instalments that were never going to land.

Why this matters

Fraud losses on instant finance rarely show up as one big number. They show up as chargebacks, goods walked out the door, and staff time spent on disputes that shouldn't have got past approval. Any retailer offering buy now pay later or point-of-sale finance takes on that risk the moment a plan is approved, because the merchant gets paid before the instalments are collected.

Section 75 of the Consumer Credit Act protects consumers on card and linked finance purchases between £100 and £30,000, which means a disputed transaction can come back to the retailer even after the goods have shipped. That's the exposure fraud checks are built to close. In 2026, as BNPL providers move further into regulated consumer credit territory, retailers who tighten checks now spend less time on manual disputes later.

How to reduce fraud risk when offering instant finance

1. Verify identity before approval. Use open banking data or document checks rather than a name and address match alone. This step alone is where most retailers can vet customers for BNPL eligibility properly instead of relying on a soft credit search.
2. Check affordability, not just credit history. A clean credit file doesn't mean the applicant can service the repayments — real transaction data does a better job of showing that.
3. Set sensible limits per customer and per order value. Retailers that set credit limits for BNPL customers based on order size and repeat purchase history cap their exposure to any single fraudulent application.
4. Watch for behavioural red flags at checkout. Mismatched billing and delivery addresses, unusually fast form completion, and multiple applications from the same device in a short window are all signs worth a manual look.
5. Review declined and flagged applications weekly, not monthly. Patterns that look random in a single transaction show up clearly across a week of data.
6. Hold dispatch until approval clears. Stock that leaves the warehouse before the affordability check finishes running has already defeated the point of the check.
7. Train front-line staff to spot manual red flags in-store. A nervous applicant, a mismatched ID, or a rushed in-person sale is often the easiest fraud signal to catch and the easiest one to miss.

Identity verification: the first line of defence

Identity verification confirms the applicant is who they say they are before any finance is approved. Open banking checks and document uploads do this faster and more reliably than a name-and-address match, and they close the door on stolen-identity applications before they reach a decision.

Affordability checks catch what credit checks miss

A credit score tells you how someone has handled debt in the past — it doesn't tell you whether their current income covers a new instalment. Affordability checks against live transaction data catch synthetic identity and first-party fraud that a credit-only decision engine waves through, because the applicant's spending pattern doesn't match the profile the credit file suggests.

Behavioural and device signals flag account takeover

Account takeover shows up in patterns, not single events: a login from an unfamiliar device, a delivery address that doesn't match any prior order, or several applications submitted within minutes of each other from the same IP. None of these signals alone proves fraud, but two or three together are worth a hold-and-review before approval clears.

What your checkout can control before finance is approved

The merchant side of fraud prevention comes down to a short checklist:

• Require identity verification on every application, not just high-value orders.
• Flag orders where the delivery address is new and the order value is high.
• Hold dispatch until the finance decision is final, not pending.
• Log every declined and disputed application in one place for weekly review.
• Brief sales staff on what a rushed or evasive in-person applicant looks like.

PayItMonthly runs identity and affordability checks automatically at the point of sale, which means approvals happen at checkout instead of sitting in a manual review queue — the same protection without the extra staff time.

Why fraud risk varies by business

• Order value — higher-ticket purchases attract more fraud attempts because the payoff is bigger.
• Sales channel — in-store purchases let staff check ID in person; phone and online sales rely entirely on the verification step doing that job.
• Product category — electronics, jewellery, and other easily resold goods draw more attempted fraud than made-to-order services.
• Verification depth — a soft credit check alone catches far less than identity verification paired with affordability data.
• Dispatch timing — retailers that ship before the finance decision is final carry more exposure than those who wait for a cleared approval.
• Volume of remote sales — phone and mail-order applications remove the in-person ID check entirely, raising reliance on digital verification.

Does buy now pay later increase fraud risk for retailers?

Buy now pay later doesn't inherently carry more fraud risk than card payments — the risk shifts to the point of approval, because the merchant gets paid before the instalments are collected. Retailers using a provider with real-time identity and affordability checks keep this exposure low; those relying on a soft credit check alone absorb more of the fallout as unpaid instalments rather than clean fraud.

What is friendly fraud in BNPL transactions?

Friendly fraud in BNPL happens when a legitimate customer disputes a completed purchase, or denies authorising it, to avoid paying the remaining instalments despite having received the goods. It's harder to catch with identity checks alone because the applicant already passed verification — the dispute surfaces after delivery, which is why weekly review of disputed transactions catches a pattern a single case hides.

How does identity verification reduce chargeback risk?

Identity verification reduces chargeback risk by confirming the applicant's identity using open banking data or document checks before the finance is approved, rather than relying on a credit score alone. This stops synthetic and stolen-identity applications passing the point where the merchant becomes exposed — and that point is where most fraud-driven chargebacks originate.

FAQ

One last thing

The biggest fraud gap most retailers overlook isn't the identity check itself — it's the gap between approval and dispatch. If stock leaves the warehouse before the affordability check finishes running, the check happened too late to matter. Hold dispatch until approval clears, every time, no exceptions, and 2026's fraud numbers will look a lot better than 2025's did.

Related guides

• How to reduce declined finance applications at checkout
• How to offer no-credit-check finance responsibly