Home>Resources>Case Study>BFSI>Our Credit Risk Modelling can prevent potential loss of 1.2 Million Dollars within the first year

Credit Risk Modelling

Client

Banking major in SE Asia

Business Problem

The client was witnessing a high rate of increase in the number of defaulters

Objective

Determine the credit risk of potential borrowers

Abzooba’s Solution:

  • Implemented Apache Spark as a crawling infrastructure to collect continuous data from Linkedin
  • Natural language processing is being used to bring out the customer’s credibility factor from connection recommendations along with other KPIs like Years of Experience, Frequency of Job Change, Skill Endorsements, etc
  • Created a machine learning (logistic regression) model to identify the defaulters

Business Benefits:

3.23% decrease in the rate of defaulters (Y-o-Y)

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