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Oksana Petrenko

ALT-2026-88075criticalrisk 94
Rule
TM-SAN-001 · Counterparty name matches a designated-party alias at 0.93
Typology
Sanctions nexus
Channel
SEPA
Jurisdiction
PL
Value
15.8K EUR
Opened
Aug 29, 2026, 1:00 AM
Legal name
Oksana Petrenko
Customer type
individual
Customer since
Mar 9, 2024
Residence
Kraków, PL
Nationality
UA
Occupation
Logistics coordinator
Source of funds
Salary
Declared monthly volume
4K EUR
Inherent risk rating
medium
Identity verification
Documentary + database · verified
Last review
Sep 19, 2025
Alerts (12m)
2
Prior filings
0

Segments

Cross-border remittanceDisplaced-person programme

Audit trail

  1. Aug 29, 01:00 AMAlert raised by TM-SAN-001 — Counterparty name matches a designated-party alias at 0.93
  2. Aug 29, 01:00 AMAssigned to heelius-investigator-4.2 · policy-pack us-bsa-2026.08
  3. Aug 31, 03:35 PMParse alert and load policy — 1 records
  4. Aug 31, 03:35 PMRetrieve KYC and relationship history — 14 records
  5. Aug 31, 03:35 PMReconstruct transaction history — 342 records
  6. Aug 31, 03:35 PMExpand counterparty network to 1 hop — 1 records
  7. Aug 31, 03:35 PMScreen subject and counterparties — 2 records
  8. Aug 31, 03:35 PMAdverse media sweep — 1,840 records
  9. Aug 31, 03:35 PMWeigh evidence and reach disposition — 4 records
  10. Aug 31, 03:35 PMDraft regulator-grade narrative — 4 records
  11. Aug 31, 03:35 PMSelf-check against the QA rubric — 4 records
  12. Aug 31, 03:35 PMDisposition ESCALATE at 73% confidence
  13. Aug 31, 03:35 PMQA sampled — concur (MLRO office)

Investigation trace

2m 35s
  1. Parse alert and load policy

    3s

    Rule TM-SAN-001 resolved to typology "Sanctions nexus". Loaded the PL policy pack and the institution's escalation matrix.

    • Typology: Sanctions nexus
    • Jurisdiction pack: PL

    Intake · 1 records

  2. Retrieve KYC and relationship history

    11s

    Pulled the customer file, prior dispositions and the current risk rating.

    • Activity materially exceeds declared expectation

    KYC retrieval · 14 records

  3. Reconstruct transaction history

    27s

    Analysed 2 alerted transactions against a trailing twelve-month baseline; tested for threshold proximity, velocity, round-value patterning and pass-through.

    • High pass-through ratio explained by the business model

    Transaction analysis · 342 records

  4. Expand counterparty network to 1 hop

    34s

    Resolved 1 counterparties and tested for shared identifiers, device overlap, circular flow and undisclosed common control.

    • Counterparty risk flags reviewed and attributable

    Counterparty network · 1 records

  5. Screen subject and counterparties

    19s

    Screened against consolidated sanctions lists, the global PEP register and internal watchlists; applied the institution's discriminator rules to each candidate.

    • EU consolidated list: unresolved

    Sanctions & PEP · 2 records

  6. Adverse media sweep

    22s

    Searched 42 languages across licensed and open sources, deduplicated by event and tested each candidate for homonym risk.

    • No relevant negative news identified

    Adverse media · 1,840 records

  7. Weigh evidence and reach disposition

    16s

    Aggregated 4 weighted findings; suspicion score 0.71 against the institution's thresholds.

    • Suspicion score 0.71
    • Disposition: escalate
    • Confidence 73%

    Risk reasoning · 4 records

  8. Draft regulator-grade narrative

    14s

    Composed the six-part narrative with a source citation on every asserted fact.

    • Six sections drafted
    • 4 citations attached

    Narrative drafting · 4 records

  9. Self-check against the QA rubric

    9s

    Verified every narrative assertion resolves to a retrieved record, checked policy citations and tested the disposition against the escalation matrix.

    • Routed to human review
    • Screening match unresolved on available data
    • Sanctions alias match above the mandatory-referral threshold

    Self-QA · 4 records

Agent disposition

$2.80
Escalate to L3
Calibrated confidence73%

Routed to a human

  • Screening match unresolved on available data
  • Sanctions alias match above the mandatory-referral threshold
Findings
4
Citations
4
Saved
$30

Weighted findings

F-4

Screening match cannot be resolved on available data

Vostok Logistika TOV — alias match 0.93 at 93% — Strong alias overlap with a designated entity but a divergent registration number. Below the institution's auto-clear bar; mandatory human determination under the sanctions escalation policy.

EU consolidated list

+0.90
F-1

Activity materially exceeds declared expectation

Alerted volume 15,800 EUR against a declared monthly expectation of 4,000 EUR (4.0×).

KYC profile CUS-664012

+0.84
F-2

High pass-through ratio explained by the business model

100% of inbound value was disbursed within the alert window; pass-through is intrinsic to a logistics coordinator, whose settlement obligations are documented at onboarding.

Transaction ledger, 2 records

0.50
F-3

Counterparty risk flags reviewed and attributable

Flags on 1 counterparty resolve to cross-border or sector attributes already captured in the customer's risk rating.

Counterparty register

0.20

Regulator-grade narrative

Subject

Oksana Petrenko (CUS-664012) is an individual customer of the institution since March 9, 2024, resident in Kraków, PL and recorded as logistics coordinator. The relationship carries a medium inherent risk rating, last reviewed September 19, 2025. Declared source of funds is salary, with an expected monthly throughput of 4,000 EUR. Identity was verified on March 9, 2024 by documentary + database.

Activity under review

Alert ALT-2026-88075 was generated by rule TM-SAN-001 — counterparty name matches a designated-party alias at 0.93 — covering 2 transactions totalling 15,800 EUR through the sepa channel between August 1, 2026 to August 29, 2026. 1 inbound and 1 outbound movements were reviewed in full, together with the customer's trailing twelve-month history and 1 counterparty resolved to 1 hop.

Findings

(1) Screening match cannot be resolved on available data. Vostok Logistika TOV — alias match 0.93 at 93% — Strong alias overlap with a designated entity but a divergent registration number. Below the institution's auto-clear bar; mandatory human determination under the sanctions escalation policy. [EU consolidated list] (2) Activity materially exceeds declared expectation. Alerted volume 15,800 EUR against a declared monthly expectation of 4,000 EUR (4.0×). [KYC profile CUS-664012]

Mitigating evidence

(1) High pass-through ratio explained by the business model. 100% of inbound value was disbursed within the alert window; pass-through is intrinsic to a logistics coordinator, whose settlement obligations are documented at onboarding. [Transaction ledger, 2 records] (2) Counterparty risk flags reviewed and attributable. Flags on 1 counterparty resolve to cross-border or sector attributes already captured in the customer's risk rating. [Counterparty register]

Screening

EU consolidated list: Vostok Logistika TOV — alias match 0.93 (score 0.93) — unresolved. Strong alias overlap with a designated entity but a divergent registration number. Below the institution's auto-clear bar; mandatory human determination under the sanctions escalation policy.

Disposition

The activity cannot be resolved at this level and is referred to a senior investigator for determination. Referral is mandatory under the institution's escalation policy on the following grounds: screening match unresolved on available data; sanctions alias match above the mandatory-referral threshold. This determination was produced by heelius-investigator-4.2 · policy-pack us-bsa-2026.08 with a calibrated confidence of 73% and is subject to the institution's quality-assurance sampling programme.

heelius-investigator-4.2 · policy-pack us-bsa-2026.084 citationsAug 31, 2026, 3:35 PM

Reviewer decision

QA sample

concur

Correctly refused to clear on an unresolved alias match. Registration-number discriminator noted but appropriately not treated as dispositive.

MLRO office