AML & Financial Crime Prevention

Mule Account Networks Evading AML Controls

Built a real-time AML intelligence platform to identify hidden mule-account networks and suspicious transaction behavior.

Business Problem & Context

Verified customer accounts were being transferred to criminal networks after onboarding, enabling money laundering activity that bypassed traditional AML monitoring systems.

Architecture & Strategy

To solve the challenges, a robust and scalable architecture was required. We prioritized decoupling services and introducing event-driven patterns.

Transaction Graph Analytics

Network Relationship Mapping

Continuous Identity Verification

AML Rules Engine

Suspicious Activity Detection

Case Management Platform

Regulatory Reporting Layer

Event-Driven Architecture Stack

Measurable Outcomes

Mule Account Detection Rate

SAR Submission Accuracy

AML Investigation Time

False Positive Reduction

Network Discovery Coverage

Compliance Review Efficiency

Suspicious Transaction Detection

Core Tech Stack