Smart   Consulting


Risk Scorecard

ScoreCard Improvisation

Objective

  • To review scorecard for a car loan provider in UK
  • The client had a scorecard developed by another vendor but was dissatisfied with the performance
  • The client engaged us to review and update the scorecard with additional variables

Solution

  • Bootstrapping was used to overcome the limitation of a small sample.
  • Reject rates were taken as a surrogate for default rate.
  • Model Gini = 66.74* & Model KS = 53.85** indicating high quality scorecard

Challenges

  • Details on scorecard development methodology not available.
  • Important variables such as Job Type, Residence Type and Residence Years were not considered while building the model.

Benefit

  • Scores recalibrated with default data after sometime.

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