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

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