BA009 · Correspondent Banking

Transaction Laundering

Transaction laundering is a legitimate-looking merchant account used as a payment processing front for hidden third parties: a card-processing relationship underwritten against one declared business is quietly used to clear volume for merchants — or principals — the acquirer never screened. Unlike BA007 Cash Intensive Activity (physical cash disproportionate to a declared profile), the tell here runs through the CARD RAILS themselves.

The finding lives in how far processed card volume runs above what the merchant declared at boarding, how many unrelated sub-merchants are folded into the one processing relationship, how much of the transaction mix does not match the boarded merchant category code (MCC), and how anomalous the refund/chargeback pattern is against genuine commerce.

Risk indicators

Volume Profile Mismatch

• Processed card volume running multiples of the merchant's own declared business volume
• Volume growth with no plausible business explanation

Third-Party

• Unrelated sub-merchants folded into the one boarded processing relationship
• Multiple unconnected storefronts settling to the same underlying account

MCC Inconsistency

• Transaction types inconsistent with the boarded merchant category code
• A "retail goods" MCC clearing digital, subscription or cash-equivalent transaction types

Refund/Chargeback Anomaly

• An elevated refund/chargeback rate with no genuine customer dispute cycle
• Self-refunds or test transactions inconsistent with real commerce

Investigation actions

1. Resolve the merchant account, its declared business profile, and its processor.
2. Compute the volume profile mismatch ratio (processed card volume / declared business
3. Count the unrelated sub-merchants funnelled through the processing relationship.
4. Compute the MCC inconsistency ratio (mismatched transactions / total transactions).
5. Compute the refund/chargeback anomaly ratio (returned value / total processed value).
6. Score each of the four components against its band cut-lines.
7. Aggregate the weighted exposure score; escalate at or above the threshold.

Detection logic

1. Resolve the merchant account, its declared business profile, and its processor. 2. Compute the volume profile mismatch ratio (processed card volume / declared business volume). 3. Count the unrelated sub-merchants funnelled through the processing relationship. 4. Compute the MCC inconsistency ratio (mismatched transactions / total transactions). 5. Compute the refund/chargeback anomaly ratio (returned value / total processed value). 6. Score each of the four components against its band cut-lines. 7. Aggregate the weighted exposure score; escalate at or above the threshold.

Related typologies

Curated from fc-06-correspondent-banking-analytics-toolkit/typologies/BA009_Transaction_Laundering.md