| name | aml-compliance |
| title | Overview |
| description | Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance workflow. Sanctions screening, PEP detection, transaction monitoring, suspicious activity reporting (SAR), and OFAC compliance. |
| author | mkurman |
| author_url | https://github.com/mkurman/zorai/tree/main/skills/scientific-skills/aml-compliance |
| license | MIT |
| version | 0.1.1 |
| execution_mode | open |
| jurisdiction | us |
| practice | white-collar |
| language | en |
| tags | ["aml","kyc","compliance","anti-money-laundering","sanctions","regulatory","zorai"] |
Overview
AML/KYC compliance covers sanctions screening, PEP detection, transaction monitoring, currency transaction reports (CTR), suspicious activity reports (SAR), and OFAC compliance. Essential for fintech, banking, and payment applications handling regulated financial transactions.
Installation
uv pip install requests
Screening Rules
THRESHOLDS = {"ctr": 10000, "structuring_lookback": 5000}
HIGH_RISK_COUNTRIES = {"IR", "KP", "SY", "CU", "MM"}
def screen_tx(tx):
alerts = []
if tx.amount >= THRESHOLDS["ctr"]:
alerts.append("CTR required — cash transaction over $10k")
if tx.country in HIGH_RISK_COUNTRIES:
alerts.append("OFAC sanctioned jurisdiction — enhanced due diligence")
if tx.is_pep:
alerts.append("PEP flagged — enhanced monitoring")
return alerts
References
