Senior SAM Analyst

Unchain Data; Ireland; Remote; EUR 60,000 - 74,000; Full time

Job summary

Coinbase is seeking a Senior SAM Analyst on the CX Compliance team to investigate complex financial crime activity and strengthen AI-assisted investigations. You will own high-risk casework and ensure regulatory reporting is accurate.

You'll collaborate with Product, Compliance Technology, and ML Engineering to improve investigation quality while maintaining human oversight. A bachelor’s degree and 4+ years of AML experience are expected.

Qualifications

• 4+ years of AML, transaction monitoring, fraud investigations, or financial crime compliance experience

Responsibilities

• Own end-to-end AML/CTF investigations involving complex alerts and referrals
• Draft and review SARs/STRs with evidence-based conclusions
• Evaluate AI-generated narratives and model outputs with HITL quality scorecards
• Translate defects into actionable feedback for Product and ML Engineering
• Support AI evaluation through annotation, calibration, and UAT
• Escalate material issues with evidence and next steps

Skills

AML

Transaction monitoring

Fraud investigations

Financial crime compliance

Independent ownership

Education

Bachelor's degree or equivalent

Tools

SQL

Snowflake

Blockchain analytics

Job description

About Us

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."

The Role

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.

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.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Nice to Have

• CAMS or another relevant AML, fraud, or crypto investigation certification.
• Experience with SQL, Snowflake, fraud-ring analysis, entity resolution, or blockchain analytics.

Compensation

Annual base salary range (excluding equity and bonus): €67,000 - €67,000 EUR. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).