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Fintech: Continuous AML & Fraud on Snowflake + Databricks

Streaming AML & fraud inference on Snowflake + Databricks with graph ML, OFAC screening and case management on ServiceNow IRM. −38% fraud loss.

The challenge

A high-growth fintech was losing 0.42% of transaction value to fraud. AML screening was a daily batch on a legacy Oracle estate; OFAC matches were missed because the screening window was too narrow; case management lived in spreadsheets.

What we delivered

  • 01
    Real-time AML & fraud scoring on Databricks with streaming inference.
  • 02
    Graph ML on Snowflake for entity resolution and ring detection.
  • 03
    OFAC / UN / EU screening with real-time list updates.
  • 04
    ServiceNow IRM case management with auto-evidence.
  • 05
    Continuous controls monitoring with BCBS-aligned evidence packs.

Outcomes

  • −38% Fraud loss rate.
  • 18,000 Transactions scored per second.
  • 12 min p95 case-to-decision latency.
  • 100% OFAC list coverage, real-time.
“ByteWave’s fraud ML is the single biggest lever on our P&L this year.”

— Group CRO, Fintech