Fintech Fraud Detection Center
A centralized event-processing dashboard providing fraud analysts with real-time anomaly detection and transaction network visualization.
Category
Financial Technology
Tech Stack
React, Go, Apache Kafka, Redis, Docker
Primary Impact
Decreased false positive rates and accelerated manual review times.
The Challenge
A payment gateway processing tens of thousands of transactions daily struggled with high false-positive fraud alerts and delayed analyst investigation times due to fragmented data sources.
The Solution
We developed a high-throughput event processing pipeline using Kafka and Go, feeding aggregated risk scores into a low-latency Redis cache. The custom React dashboard provided fraud analysts with a centralized command center, featuring interactive relationship graphs to visualize transaction networks and anomaly detection flags instantly.
The Impact
The unified data presentation decreased false positive rates by consolidating risk signals and cut manual review times drastically, allowing analysts to clear flagged transactions with much higher efficiency.