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Finance
Automated Risk Assessment for Fintech
Series B Fintech Startup12 weeks
The Challenge
Manual risk evaluation was a bottleneck
- Risk assessment taking 48+ hours per application
- Inconsistent evaluation criteria across analysts
- High false positive rates causing customer friction
- Unable to scale with growing application volume
Our Solution
ML-powered scoring with real-time data integration
- Built gradient boosting model trained on 500K+ historical decisions
- Integrated 15+ external data sources for comprehensive risk signals
- Implemented explainable AI for regulatory compliance
- Deployed on AWS with auto-scaling infrastructure
The Impact
Transformed risk operations
< 5 min
Assessment Time
94%
Accuracy Rate
-67%
False Positives
10x
Processing Volume
Technologies Used
PythonXGBoostAWS SageMakerApache KafkaPostgreSQL