Scorecard Development enables you to make accurate and timely default predictions to streamline credit approval processes and reduce exposure to business risk by performing statistical analysis. With the advanced predictive analytics capabilities, we build, validate and deploy credit risk models. Also, to assess and control risk accurately within your existing consumer portfolios by understanding the specific risk characteristics that lead to delinquency, default and bad debt. It helps create credit scorecards using in-house expertise and resources to decide whether to accept an applicant (application scoring) even to determine the likelihood of defaults among customers who have already been accepted (behavioral scoring).

The scoring method used to calculate PD forecasts over a rating class and forecasting bank loans for loss given default (LGD) based on the current credit rating of the counterparty.

We provide the most comprehensive set of advanced predictive and descriptive modeling algorithms; including scorecard, decision trees, logistic regression, etc. – and assessesscorecard quality to determine the best course of action with key features like Automatic and interactive variable grouping, Scorecard construction, Reject inference.

OUR OFFERINGS ARE AS MENTIONED BELOW

1. Application Scorecard Development
2. Behavioural Scorecard Development
3. PD Model
4. LGD Model