Fintech Lender overcomes high rejection rates for female borrowers with AI-Powered credit scoring

15% boosted approvals
10% reduced losses

Country

United Arab Emirates

Company Size

500 – 1,000 Employees

Products

Personal Loans

Type

Fintech, Retail Lending

The Challenge

A digital lender in the Middle East was experiencing disproportional high rejection rates for female blue collar borrowers, stifling their growth. Their credit risk scorecards took 6 months to build and had low GINI accuracy.

The Results

Increase in GINI accuracy

+25 pts

Processing time per application

< 1 week

Increase in approval rates

+15%

Reduction in loss rates

-10%

Bridging the Gender Divide
Within 3 months of using creditX, our customer saw a large uptick in approval rates amongst female borrowers, with a significant reduction in loss rates. This improved financial inclusion while increasing profitability.
Higher Operating Efficiency
The end-to-end process of developing and deploying credit models used to take 6 months and involved a team of 8 persons. It is now managed by 2 persons and takes less than a week to complete, allowing the team to focus on other value-adding projects.

The Solution

Ensemble ML algorithms for higher predictive accuracy
Bias reduction techniques automated in scorecard development
Full automated solution seamlessly connected to Lender’s data warehouse and LOS system
Ability to create credit models for thin-file customers using historical data with option to add Credit Bureau data where available

Results after 3 months

<1 week

to develop and deploy new credit models

8%

Increase in Approvals which reversed rejection rates

“A game-changer”

finbots.ai’s solution, creditX, is a game changer in credit modelling that supports our Bank’s digital transformation journey.

– Ti Eng Hui, CEO, Baiduri Bank

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Let us show you how finbots creditX can help your lending business with a no-obligation call and demo.

Book a demo

Let us show you how fnbots creditX can help your lending business with a no-obligation call and demo

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