2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, fraud analytics, or related fields (fintech, banking, or payments preferred)
Hands-on experience with blockchain intelligence tools such as Chainalysis, TRM Labs, Elliptic, or similar platforms
Strong SQL skills (ability to write complex joins, aggregations, window functions, and performance-optimized queries on large datasets)
Experience analyzing transaction-level data and building or optimizing rule-based monitoring logic
Familiarity with AML/BSA concepts and transaction monitoring frameworks
Ability to translate ambiguous regulatory requirements into structured, data-driven logic
Strong analytical thinking and ability to independently structure open-ended problems