Digital Bank drives profitability by reducing credit loss rates by 50%

50% Credit loss rates
25 GINI points

Country

Mongolia

Company Size

50 – 100 Employees

Products

Micro Loans; Salary Advance

Type

Fintech, Retail Lending

The Challenge

A digital lender in North Asia was struggling to grow their retail lending business, resulting in high loss rates for their salary advance and micro-loans. They were using an AI modelling solution but it was still a resource-intensive, required IT support, and took 6 – 8 months to develop & deploy a scorecard with accuracy of <40 GINI.

The Results

Increase in GINI accuracy

+25 pts

Processing time per application

5 Days

Increase in approval rates

+15%

Reduction in loss rates

-50%

Stemming Loss Rates
Our customer saw a drastic 50% reduction in loss rates using a credit model developed & deployed on creditX. At the same time, they experienced a 15% increase in approvals resulting in significant increases in profitability.
Easy and Efficient Modelling
creditX saved our customer thousands of man hours across data science, risk and IT by automating the entire credit risk model development, validation and deployment. Today, 1 person manages the entire process, with other teams deployed across other value-adding projects.

The Solution

Ensemble ML algorithms for higher predictive accuracy
Rapid integration into the bank’s infrastructure using API
Customized rules decision engine to incorporate broader policy and regulatory rules
Implementation completed in 14 weeks

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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