Sanctions & PEP Screening Engine

Total Screened

Names in queue

HIGH Alerts

Score ≥ 90

MEDIUM Alerts

Score 75–89

For Review

Score 60–74

Clear

Score < 60

PEP Matched

Politically exposed

Sanctions Hit

OFAC/UN/EU/HMT

Alert Level Distribution

Match Score Distribution

≥ 90 HIGH

75–89 MED

60–74 REV

< 60 CLEAR

By Match Type

Watchlist Breakdown

OFAC-SDN14

PEP · Tier 1 Senior6

EU-Consolidated5

UN-Consolidated4

HMT-UK3

PEP · Other Tiers3

Screening Performance Metrics

Precision (HIGH + MEDIUM alerts) 97.14%

Recall (zero missed hits) 100.00%

F1 Score 98.55%

True Positives 34

False Positives (false alerts) 1

False Negatives (missed hits) 0 ✓

Watchlist entries (names + aliases) 55

Algorithm rapidfuzz · token_sort_ratio

TRUE POSITIVE

FALSE POSITIVE

FALSE NEGATIVE

TRUE NEGATIVE

Fuzzy Match Technique

ALGORITHM

rapidfuzz.fuzz.token_sort_ratio

Sorts tokens alphabetically before comparison — handles word-order variations and middle name reordering

EXAMPLE · FUZZY HIT DETECTED

Query: "Ali Hasan Al-Farsi"

Matched: "Ali Hassan Al-Farsi"

Score: 96 / 100 → OFAC-SDN · Terrorism Financing

EXAMPLE · PEP MATCHED

Query: "Priya Nanda Kumar"

Matched: "Priya Nandakumar"

Score: 92 / 100 → PEP Tier 2 · State Chief Secretary

THRESHOLD LOGIC

≥ 90 → HIGH alert · Immediate escalation
75–89 → MEDIUM · Analyst review required
60–74 → REVIEW · Enhanced due diligence
< 60 → CLEAR · No match detected