As a Senior SAM Analyst on the CX Compliance team within Customer Experience, you’ll investigate complex financial crime activity and help strengthen AI-assisted investigations. You’ll own high-risk casework and apply human judgment to validate investigative outputs, support accurate regulatory reporting, and identify control gaps. Your findings will help Product, Compliance Technology, and ML Engineering improve investigation quality and efficiency while maintaining human oversight.

What you’ll do:

• 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.

Required Skills and Experience:

• 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.
• 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.