
Senior SAM Analyst
Posted 12 hours ago

Posted 12 hours ago
This is a fully remote position, open to applicants in United Kingdom.
• Analyze intricate AML/CTF cases that involve alerts, referrals, fraud typologies, and interconnected customer activities.
• Perform open-source research, verify identities, review previous filings, and conduct blockchain analysis as necessary.
• Compose and assess investigative narratives as well as SARs/STRs.
• Assess AI-generated narratives, evidence, risk evaluations, and proposed dispositions utilizing HITL quality scorecards.
• Detect overlooked risk indicators, unsupported or fabricated information, erroneous risk assessments, and inappropriate escalation decisions.
• Convert investigation findings, model flaws, data issues, and workflow defects into actionable insights for Product, Compliance Technology, and ML Engineering teams.
• Assist in AI evaluation and release testing through annotations, calibration, user acceptance testing, and benchmark case evaluations.
• Raise significant issues that impact customers, regulatory submissions, control efficacy, or launch readiness, while documenting evidence, implications, and subsequent actions.
• Minimum of 4 years of experience in AML, transaction monitoring, fraud investigations, or financial crime compliance, including independent management of complex, high-risk, or multi-entity cases.
• Bachelor’s degree or the equivalent practical experience.
• Proficient in drafting and reviewing SARs/STRs and substantiating investigative conclusions with documented evidence and relevant regulatory requirements.
• Familiarity with conducting quality reviews, second-reviewer checks, calibration, user acceptance testing, or model assessments.
• Capability to identify systemic vulnerabilities and convey reproducible, actionable findings.
• Skill in prioritizing competing cases and making risk-based escalation decisions amidst uncertainty or time constraints.
• Preferred: CAMS or another pertinent AML, fraud, or cryptocurrency investigation certification.
• Preferred: Experience with SQL, Snowflake, fraud-ring analysis, entity resolution, or blockchain analytics.
• Responsible utilization of generative AI while ensuring human oversight.
• Eligibility for equity.
• Eligibility for bonuses.
• Medical insurance coverage.
• Dental insurance coverage.
• Vision insurance coverage.
• Quarterly in-person working sessions (“surges”).
• Support for reasonable accommodations.
• Complimentary compatible screen reader for applicants requiring screen-reading technology.
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