Fraud Detection Engine
Fintech

Fraud Detection Engine

Detecting anomalies in real-time to prevent transactional fraud.

Project Summary

We developed next-gen digital infrastructure for a fintech client offering lending, payments, and savings. We built out a suite of features including instant KYC, mobile-first dashboards, and intelligent transaction alerts. Customer onboarding was automated using OCR and selfie-verification flows. The backend integrated fraud monitoring tools, compliance modules, and real-time API logs for audit readiness.

Business Needs

To automate and secure the entire lending process from user onboarding to disbursal, with real-time fraud detection.

Proposed Solution

A modular backend on AWS using microservices, event queues for loan lifecycle, and pluggable analytics models for credit scoring.

Objectives Achieved

  • Cut onboarding time from 3 days to 5 minutes
  • Loan default rate dropped by 19%
  • Scaled to 150,000 active users in under 6 months

Technologies Used

WebRTCPostgreSQLNode.jsExpress.js
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