AML 风险评分：实体风险计算公式

Risk Score = (Country Score × 0.30) + (Category Score × 0.50) + (Criminal Score × 0.20)

┌─────────────────────────────────────────────────────────────────┐
│  CRITICAL (100)     │ Sanctions, PEP, PEP Level 1              │
├─────────────────────────────────────────────────────────────────┤
│  VERY HIGH (80-95)  │ Warnings, Insolvency, PEP Level 2        │
├─────────────────────────────────────────────────────────────────┤
│  HIGH (70-79)       │ SIE, SIP, PEP Level 3                    │
├─────────────────────────────────────────────────────────────────┤
│  ELEVATED (55-69)   │ Fitness/Probity, Adverse Media, PEP L4   │
├─────────────────────────────────────────────────────────────────┤
│  MODERATE (40-54)   │ Business, Businessperson                 │
└─────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────┐
│                           AML SCREENING FLOW                                 │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  1. SCREEN AGAINST WATCHLISTS                                               │
│     └── Returns list of potential hits (match score ≥ 75%)                  │
│                                                                             │
│  2. FOR EACH HIT: CALCULATE MATCH SCORE                                     │
│     Match Score = (Name × W1) + (DOB × W2) + (Country × W3)                │
│     + Golden Key document number logic                                      │
│                                                                             │
│  3. CLASSIFY HITS BY MATCH SCORE                                            │
│     ├── Match Score < 93 → FALSE POSITIVE (excluded)                        │
│     └── Match Score ≥ 93 → UNREVIEWED (included)                            │
│                                                                             │
│  4. FOR EACH UNREVIEWED HIT: CALCULATE RISK SCORE                           │
│     Risk Score = (Country × 30%) + (Category × 50%) + (Criminal × 20%)     │
│                                                                             │
│  5. DETERMINE FINAL AML STATUS                                              │
│     If no non-false-positive hits → APPROVED                                │
│     Else, based on HIGHEST RISK SCORE:                                      │
│     ├── Risk Score < 86 → APPROVED                                          │
│     ├── 86 ≤ Risk Score ≤ 100 → IN REVIEW                                   │
│     └── Risk Score > 100 → DECLINED                                         │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

Risk Score = (81.66 × 0.30) + (100 × 0.50) + (0 × 0.20)
           = 24.50 + 50.00 + 0.00
           = 74.50

Risk Score = (71.25 × 0.30) + (100 × 0.50) + (100 × 0.20)
           = 21.38 + 50.00 + 20.00
           = 91.38

Risk Score = (24.79 × 0.30) + (40 × 0.50) + (0 × 0.20)
           = 7.44 + 20.00 + 0.00
           = 27.44

{
  "caption": "John Doe",
  "match_score": 95,
  "risk_score": 74.5,
  "review_status": "Unreviewed",
  "properties": {
    "countries": ["IR"],
    "topics": ["sanction"]
  }
}

{
  "status": "In Review",
  "total_hits": 3,
  "score": 91,
  "hits": [
    {
      "caption": "John Doe",
      "match_score": 95,
      "risk_score": 91,
      "review_status": "Unreviewed"
    },
    {
      "caption": "Johnny D.",
      "match_score": 88,
      "risk_score": 45,
      "review_status": "False Positive"
    },
    {
      "caption": "J. Doe",
      "match_score": 94,
      "risk_score": 65,
      "review_status": "Unreviewed"
    }
  ]
}