Real-Time Fraud Monitoring
Fintech

Real-Time Fraud Monitoring

PaySure
Risk Platform
18%
Chargeback Reduction
90 sec
Investigation Kick-off

The Challenge

PaySure handled transactions for boutique retailers and saw a spike in friendly fraud. Analysts worked with CSV exports that arrived the next day, giving fraudsters a head start.

Our Solution

We built a real-time rules engine with risk scoring informed by historic cases. Suspicious activity triggers an investigation task in Zendesk with all supporting context.

Key Features Delivered

  • Streaming feature store enriched with device intelligence
  • Risk scores that blend rules with statistical thresholds
  • Investigation workspace inside Zendesk for faster handoffs
  • Weekly trend reports for the compliance committee

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Technology Stack

Powered by industry-leading technologies

KafkaPythonAWS LambdaSnowflakedbt

Business Impact

Chargebacks on high-risk merchant categories dropped by almost a fifth, and the compliance team now has the full history of a transaction available seconds after it happens.

Project Timeline

1

Threat Modelling

2 weeks

Reviewed historical disputes and defined the signals needed for early detection.

2

Pipeline Implementation

5 weeks

Stood up Kafka topics, built enrichment jobs, and codified risk scoring.

3

Analyst Workspace

3 weeks

Integrated alerts with Zendesk and built dashboards for monitoring outcomes.

4

Pilot & Tune

4 weeks

Ran the engine in shadow mode, tuned thresholds, and rolled out to all merchants.

"Our investigators now start reviews while the customer is still on the phone. The visibility into device fingerprints has been especially valuable."
Elena Krauss
Head of Risk, PaySure

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