GLOBAL PAYMENTS KNOWLEDGEISO 20022 / SWIFT / SEPA / MT / MX
SECONDARY IDENTIFIERS

Strong name, wrong person: identifiers decide

The alert as it lands: Alert 2026-07-12-00077 in your queue: an outbound SCT Inst instruction from your customer Tobias Kellner to Alpenglow Sports GmbH was stopped at screening. The filter matched the debtor name against list entry KELLNER, Tobias (Fictional Programme ORION) with a score of 0.94 against a 0.84 threshold. Because the instant scheme's response window is tight, the instruction has already been rejected back to the channel; the alert on your customer still needs a disposition.

All people, companies, banks, list entries, sanctions programmes, and identifiers in this case are fictional and were invented for training. Any resemblance to real persons or entities is coincidental. The list data shown does not come from any real sanctions list.

Stage 1 of 6: Input

THE PAYMENT AS SCREENING SEES IT

Rail
SEPA Instant Credit Transfer (SCT Inst)
Debtor
Tobias Kellner (Germany)
Creditor
Alpenglow Sports GmbH (Austria)
Amount
EUR 950.00
Purpose
Ski touring equipment — order 55217

THE LIST (FICTIONAL)

  • KELLNER, TobiasAKA: Tobi KellnerDOB 1975-03-30 · Germany · Fictional Programme ORION
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Normalization

  • Debtor name (Dbtr/Nm): “Tobias Kellner” → “TOBIAS KELLNER” (Uppercase; no punctuation or legal-form tokens to remove.)
  • List entry primary name: “KELLNER, Tobias” → “TOBIAS KELLNER” (Resolve the surname-first inversion so both names are compared in the same token order.)

Candidates

  • le-kellner-orion: matched on Identical name after inversion normalizationBoth tokens of the debtor name equal both tokens of the inverted list name; the entry is pulled in at the highest candidate priority.

Scores

  • le-kellner-orion: total 0.94 vs threshold 0.84 (Name similarity 60%×100%; Phonetic similarity 20%×95%; Country corroboration 10%×100%; Identifier corroboration 10%×50%)

Disposition

Alert generated. An identical name in a matching country scores 0.94 against a 0.84 threshold. On an instant rail there is no time to investigate in-flight, so the instruction is rejected within the scheme window and the alert is investigated out of band — a common pattern, though institutions configure it differently.

Investigation

  1. Does the customer's date of birth match the list entry? Evidence: Customer KYC file: date of birth 1990-11-08; List entry date of birth: 1975-03-30. Finding: The dates of birth differ by more than fifteen years; the entry's strongest secondary identifier rules the customer out.
  2. Does the customer's passport match the identifier on the list entry? Evidence: Customer passport on file: fictional passport L2209581; List entry passport: fictional passport C8113374. Finding: Different document numbers from different issue series; no identifier overlap.
  3. Is there residual risk that the KYC file itself is wrong or stale? Evidence: The customer's identity documents were verified at onboarding and re-verified at the last periodic review; No adverse media or internal-list hits connect the customer to Fictional Programme ORION. Finding: The KYC identifiers are reliable enough to rest the disposition on.

Final: False positive — release. Close the alert as a false positive, documenting the date-of-birth and passport mismatches as the discounting evidence. Register the customer-to-entry pairing so the customer's resubmitted payment passes without a repeat manual review, and tell the channel the customer can safely retry. The pairing must be re-reviewed if the list entry ever gains new identifiers.

Sources for this case2
  1. Market practice

    Wolfsberg Group Sanctions Screening GuidanceThe Wolfsberg Group

    Industry guidance on the elements of an effective sanctions screening programme: the risk-based approach, list management, matching technology, alert generation, and alert handling. · Checked 2026-07-12

    Wolfsberg guidance is industry market practice, not law; institutions vary in how they apply it.

  2. Simplified educational illustration

    Payments Signal editorial teaching modelsPayments Signal

    This site's own simplified teaching models. · Checked 2026-07-12

    What this simplifies: Scoring model is a simplified teaching construct, not a production algorithm.

    Used wherever diagrams, scenarios, figures, or example values are didactic constructions rather than sourced facts; every such use carries a simplifications disclosure. All people, companies, banks, and list entries in examples are fictional.