Financial crimes and risk professional with 12+ years across banking, fintech, and crypto, and a B.Sc. in Economics. Specializes in analyzing complex financial data, including fund flows, transaction patterns, ownership structures, and source of funds, and translating the results into clear, accurate, decision-ready reporting for executives, auditors, and regulators. Experienced second-level QA reviewer who evaluates others' work for accuracy, data integrity, and readability and delivers structured, constructive feedback, with 18 consecutive audit cycles and zero compliance rejections on executive-reviewed narratives. Has presented thematic findings to leadership to drive policy changes, built SQL and Python reporting for stakeholders, and led a team as final escalation point. Currently trains and evaluates AI models on financial crimes compliance work at Mercor, working independently and asynchronously in a fully remote, deadline-driven environment. CAMS and CFE certified.