Senior SAM Analyst

Responsibilities: — Own end-to-end anti-money laundering and counter-terrorist financing (AML/CTF) investigations involving complex alerts, referrals, fraud typologies, and interconnected customer activity, including open-source research, identity verification, prior filing reviews, and blockchain analysis where needed — Draft and review investigative narratives and Suspicious Activity Reports/Transactions Reports (SARs/STRs), ensuring conclusions are evidence-based, clearly documented, and consistent with applicable requirements — Evaluate AI-generated narratives, evidence, risk assessments, and recommended dispositions using human-in-the-loop (HITL) quality scorecards to capture missed risk indicators, unsupported or fabricated facts, incorrect risk weighting, and inappropriate escalation decisions — Translate recurring investigation, model, data, and workflow defects into actionable feedback for Product, Compliance Technology, and ML Engineering — Support AI evaluation and release testing through annotation, calibration, user acceptance testing, and curated benchmark case reviews that inform model tuning and launch-readiness assessments — Escalate material issues affecting customers, regulatory filings, control effectiveness, or launch readiness, documenting evidence, potential impact, and recommended next steps Requirements: — 4+ years of experience in AML, transaction monitoring, fraud investigations, or financial crime compliance, including independent ownership of complex, high-risk, or multi-entity cases — Bachelor’s degree or equivalent practical experience — Demonstrated experience drafting and reviewing SARs/STRs and defending investigative conclusions through documented evidence and applicable regulatory requirements — Experience conducting quality reviews, second-reviewer checks, calibration, user acceptance testing, or model evaluation, including identifying systemic weaknesses and communicating reproducible, actionable findings — Demonstrated ability to prioritize competing cases and make risk-based escalation decisions under ambiguity or time pressure Benefits: — Preferred: CAMS or another relevant AML, fraud, or crypto investigation certification — Experience with SQL, Snowflake, fraud-ring analysis, entity resolution, or blockchain analytics — Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality