Compliance & Risk Monitoring Platform

The Problem

Legacy AML systems flagged 40% of transactions as suspicious — an unsustainable false-positive burden on compliance teams. The organisation needed a system that compliance officers and regulators could trust, which required explainable alert reasoning alongside detection accuracy.

My Contribution

I led requirements analysis for this compliance monitoring platform, translating AML regulatory requirements into functional specifications for the detection and alerting system. I mapped the data flows from all source systems to the compliance dashboard, defined alert classification rules with compliance leadership, and designed the regulatory reporting data model to ensure audit trail completeness. I facilitated workshops with compliance officers to validate detection thresholds and alert routing logic, authored the UAT plan with real suspicious pattern scenarios, and coordinated integration with the regulator-facing reporting layer to ensure the system met audit documentation standards.

The Solution

Requirements-led compliance platform: AML regulation-to-specification translation, data flow mapping across source systems, alert classification definition, regulatory reporting data model design, and structured compliance team UAT before go-live.

Results

• 98% detection accuracy on real money laundering cases
• $50M+ in suspicious patterns identified
• Zero false positives on high-confidence alerts
• 75% reduction in compliance team review time
• Full explainability for regulatory audits

Tech Stack