From Suspicious Activity to SAR
Quality data, sharp screening, timely filing.
Follow a suspicious transaction end-to-end: understand the data quality that makes detection trustworthy, master screening and trade-based typologies, file the SAR correctly, and see the market mechanics that create the signals.
Poor data quality costs organizations millions. This beginner module covers the six dimensions of data quality (accuracy, completeness, consistency, timeliness, validity, uniqueness), how to measure them, and basic monitoring techniques.
Master data quality frameworks (Great Expectations, dbt tests), data observability (freshness, volume, schema, lineage), cost optimization strategies (partitioning, incremental, tiering), feature stores, and building a production observability-driven quality program.
Navigate the complex landscape of sanctions compliance — OFAC SDN lists, screening technologies, and managing false positives.
Explore trade-based money laundering techniques, sanctions screening frameworks, beneficial ownership transparency, and the 2026 regulatory landscape of geopolitical fragmentation.
Master the art of Suspicious Activity Report writing through real-world scenarios — structuring, layering, trade-based ML, and crypto red flags.
Understand the mechanics of order execution, bid-ask spreads, market making, and how electronic markets actually work.
Journey complete — well done! Review your progress in the Study Queue.