Finance & Banking
Machine Learning Fraud Detection Saves $2M Annually for Fintech Lender
QuickLend Financial
18 weeks
8 specialists
95%
Fraud Detection Accuracy
$2M
Annual Savings
3x faster
Processing Speed
Le d\u00e9fi
QuickLend Financial processed over 50,000 loan applications monthly and was losing approximately $4.2M annually to fraudulent applications.
Notre solution
We built a multi-layered ML fraud detection pipeline combining gradient-boosted decision trees with deep learning anomaly detection.
R\u00e9sultats mesurables
95%
Fraud Detection Accuracy
The ML model identifies 95% of fraudulent applications.
$2M
Annual Savings
Direct fraud losses decreased by $2M in the first year.
3x faster
Processing Speed
Legitimate applications are processed 3x faster.
« We were skeptical that AI could outperform our seasoned fraud analysts, but the results speak for themselves.»
James Park
VP of Risk Management, QuickLend Financial
Client
QuickLend Financial
Industrie
Finance & Banking
Durée
18 weeks
Équipe
8 specialists