Fraud Detection System
Designed a fraud detection workflow for fintech operations with risk scoring, review queues, and alerting.
Problem
Designed a fraud detection workflow for fintech operations with risk scoring, review queues, and alerting.
Architecture
Python, PostgreSQL, Kafka shaped the foundation, with explicit delivery around maintainability and operational clarity.
Execution
- Designed layered risk scoring for transaction screening.
- Added human-review support with clearer investigation context.
Results
- Improved suspicious activity prioritization.
- Reduced manual review overhead on low-signal cases.