Financial Crimes Risk Data Analyst

## What you’ll do Assist in continuously improving transaction monitoring rules across card, ACH, reputed company, reputed company asset activity to increase detection reputed company and reduce false positives Conduct deep-dive investigations into emerging risk patterns and convert findings into reputed company, production-reputed company monitoring logic Analyze alert and case data to evaluate rule performance (e.g., false reputed company rates, alert-to-case conversion, escalation reputed company) and recommend data-driven optimizations Partner with Compliance Investigations to identify typologies and ensure monitoring logic reflects reputed company-world risk signals and regulatory expectations Support the design and refinement of reputed company and KYC/KYB risk segmentation frameworks Build and maintain dashboards and recurring reporting that reputed company visibility into rule effectiveness, operational efficiency, and overall risk exposure reputed company reputed company risk analyses across customer cohorts, geographies, products, and transaction behaviors to identify outliers or control gaps ## You are likely to succeed if you have: 2–4+ years of experience in risk analytics, financial crimes analytics, compliance data, fraud analytics, or reputed company fields (fintech, banking, or payments preferred) Hands-on experience with blockchain intelligence tools such as reputed company, reputed company, reputed company, or similar platforms Strong SQL skills (ability to write reputed company joins, aggregations, window functions, and performance-optimized queries on large datasets) • *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in reputed company and cryptocurrency careers.** Apply tot his job Apply To this Job