AML & Transaction Monitoring Investigator

AML & Transaction Monitoring Investigators – AI / Human-in-the-Loop (All Levels) Client & Project: Supporting a Big 4 Consulting Firm on behalf of a Premier Global Digital Asset & Cryptocurrency Platform Location: Tampa, Florida (Onsite 5 days/week) Engagement Type: Long-Term W2 Contract (Expected ~2+-Year Duration) Work Authorization: US Citizens or Permanent Residents (Green Card holders) only (No C2C, 1099, or visa sponsorship available) Position Overview Are you an experienced AML Investigator looking to gain high-demand, future-proof experience at the intersection of Financial Crimes, Cryptocurrency, and Artificial Intelligence? We are actively recruiting Suspicious Activity Monitoring (SAM) professionals across multiple seniority levels for a multi-year project with a Big 4 consulting firm, supporting one of the world’s leading digital asset and crypto platforms. In this role, you will serve as the critical “Human-in-the-Loop” (HITL) expert—auditing and stress-testing AI-generated investigation narratives, identifying model hallucinations or missed risk indicators, conducting manual blockchain and OSINT deep-dives, drafting defensible SARs/STRs, and partnering directly with Machine Learning (ML) Engineering to continuously refine production models. Available Openings & Seniority Levels HITL SAM Investigator (3+ Years Experience): Independently works transaction monitoring alerts, audits AI evidence packages, identifies factual/logical gaps, and completes SAR filings. Senior HITL SAM Investigator (5+ Years Experience): Leads complex, multi-entity, and high-visibility investigations; performs advanced HITL review, quality calibration, UAT, and four-eye checks. Pod Lead – HITL Investigations (5+ Years Experience): Directs daily pod workflow, runs calibration sessions, mentors/coaches investigators, and translates recurring defects into engineering enhancements. HITL SAM Manager / Principal (7+ Years Experience, 2+ Years Management): Serves as subject-matter authority, manages multi-pod capacity and operational KRIs, and serves as the final gating authority for high-risk escalations. Key Responsibilities AI Model Validation & Oversight: Audit and validate AI-generated case summaries, risk assessments, narrative drafts, and recommended dispositions. Defect & Hallucination Detection: Detect unsupported conclusions, hallucinated facts, data omissions, incorrect risk weightings, and flawed escalation/de-escalation logic. Manual Investigative Deep-Dives: Perform advanced manual tasks beyond AI capabilities, including OSINT (Open-Source Intelligence), IDV (Identity Verification) reviews, prior SAR analysis, and blockchain analytics. Regulatory Compliance & Reporting: Draft, review, and file clear, audit-ready Suspicious Activity Reports (SARs / STRs); initiate RFIs and Section 314(b) information-sharing requests when needed. Engineering Feedback Loop: Complete HITL quality scorecards and provide structured, root-cause defect logging directly to Machine Learning (ML) Engineering, Product, and Compliance Technology teams. Testing & Tuning: Support Golden Set evaluations, annotation, calibration, and User Acceptance Testing (UAT) for new model rollouts. Required Qualifications 3+ to 7+ years of dedicated experience in BSA/AML, transaction monitoring, fraud investigations, or financial crime compliance. Deep working knowledge of BSA/AML regulations, KYC/EDD protocols, typologies, and SAR narrative drafting conventions. Proven ability to analyze complex transaction patterns, synthesize fragmented data, and spot flawed investigative rationales. Strong written communication skills to author defensible, audit-ready narratives. Must be a US Citizen or Permanent Resident (Green Card holder). Must be able to work onsite 5 days/week in Tampa, Florida. Preferred Qualifications Experience with cryptocurrency transaction monitoring, crypto exchange operations, or digital wallet forensics. Hands-on familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, or Elliptic. Prior exposure to Human-in-the-Loop (HITL) workflows, model validation, Quality Assurance (QA/QC), or UAT. Exposure to data querying platforms like SQL or Snowflake. Active industry credentials such as CAMS (ACAMS), CFCS, CFE, or equivalent certifications.