FinTech & High-Frequency Banking
Ultra-Low Latency Neural Fraud Detection Mesh
Apex Global Financial Network · 12 weeks
The challenge
Rule-based fraud detection generated 18% false positives during peak shopping festivals, losing millions in legitimate customer sales.
The solution
A hybrid graph neural network and transformer ensemble compiled with vLLM/ONNX on bare-metal Kubernetes nodes with eBPF network routing.
Architecture highlights
- Sub-14 ms P99 decision latency at 45k TPS peak throughput
- Real-time transaction graph traversal using Memgraph and Redis
- Zero-downtime hot-swapping of fine-tuned weights
- Explainability audit logs satisfying international banking regulations
“The latency went from 180 ms down to 12 ms while cutting our compute bill almost in half.”