Financial Crime, AML & KYC Analyst (Train AI Models Part Time!)

**About the work** We're building a high-quality library of realistic financial-crime and KYC analyst work products. You'll complete self-contained case exercises from mock files (no live-system or client-data access) and produce the analyst deliverable for each — the same work you'd do on the job, graded against a rubric. Every client-style output ends as a draft. **What you'll do** - Adjudicate transaction-monitoring alerts from an alert packet + KYC/CDD profile + transaction history; document the disposition and draft the SAR narrative where warranted. - Review client onboarding / KYC packets for completeness and cross-document discrepancies; produce the remediation list. - Resolve multi-layer beneficial-ownership structures and apply 10%/25% UBO thresholds. - Adjudicate sanctions and adverse-media hits (true match / false positive / escalate) with a short rationale each. - Triage supervisory alert queues; adjudicate card fraud & disputes; assess flagged communications against trade records. **You're a fit if you have** - 3+ years hands-on in AML / financial-crime, KYC/CDD, sanctions screening, fraud/disputes, or transaction surveillance at a bank, fintech, payments company, or MSB. - Working knowledge of FinCEN / FATF / OFAC frameworks and SAR / CDD documentation standards. - Clear, defensible written rationales. **Nice to have** - CAMS/ACAMS or CFE; enhanced due diligence / entity unwinding; SQL or transaction analytics; fintech / payments experience. **Assessment** A timed exercise: a mock alert packet → disposition + SAR narrative; a KYC packet → discrepancy & remediation list; a batch of sanctions hits → adjudication with rationale. **Details** Contract, hourly (~15 hrs/week), remote, US-based. Pay $75-100/hr based on experience.