Senior AML Analyst owns transaction monitoring, investigations, and suspicious activity reporting for stablecoin cross-border payments. Requires 3-5 years AML experience, knowledge of FinCEN/OFAC regs, and blockchain analytics tools.
Salary not listed
On-site3+ YOEBusiness Operations
About the role
Responsibilities
Transaction Monitoring & Investigations
Own daily alert triage across all supported stablecoin networks.
Monitor for risk patterns: structuring across payout batches, round-dollar anomalies, just-below-threshold transfers, unusual geographic velocity.
Analyze volume-based triggers against expected activity profiles - flag sudden spikes, dormant account reactivation, velocity rule exceptions.
Conduct behavioral analysis by vertical, comparing customers against peer group patterns.
Execute full investigation lifecycle: alert review, customer file review, on-chain and fiat transaction analysis, EDD when triggered, documentation, escalation or closure.
Suspicious Activity Reporting
Draft UARs for CCO review with transaction timelines, on-chain tx hashes, wallet addresses, counterparty info, corridor context.
Support SAR preparation as MTLs obtained and direct FinCEN filing required.
Ongoing Customer Due Diligence
Execute risk-tiered CDD refreshes (annual/semi-annual/quarterly by risk level).
Compare actual transaction volumes against onboarding expectations, flag deviations (e.g., >$2.5M/month high-risk threshold, geographic shifts, undisclosed pivots).
Support quarterly portfolio risk analysis.
Compliance Operations & Program Building
Contribute to monitoring rule design and threshold calibration.
Support KYB onboarding reviews, independent testing prep, SOP development.
Requirements
Required
3–5 years AML/BSA experience in transaction monitoring, investigations, SAR/UAR writing at fintech, payments, MSB, or bank.
Working knowledge of BSA/AML regs, FinCEN guidance (incl. virtual currency), OFAC sanctions, FATF recommendations.
Hands-on experience with TMS alert triage, case management, SLA-driven investigation queues.
Strong pattern recognition across fiat/digital asset data with clear written narratives.
Understanding of cross-border payment flow AML risks.
Comfortable building processes in early-stage environment.
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