SPM Consulting


Campaign Id: 28. Experience: 53
Campaign Id: 30. Experience: 55


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Credit Scoring Model

Increased competition and growing pressures for revenue generation have led credit-granting and other financial institutions to search for more effective ways to attract new credit worthy customers, and at the same time, keep risk at tolerable levels and control losses. Aggressive marketing efforts have resulted in a deeper penetration of the risk pool of potential customers, and the need to process them rapidly and effectively has led to growing automation of the credit, insurance application and adjudication process. At the customer management level, companies are striving ever harder to keep their existing clients by offering them additional products and enhanced services. Risk managers are called on to help in selecting the low risk customers for such treatments. On the other hand, for the customers who have negative behavior patterns (criminal record, fraud, non-payment), strategies need to be devised not only to identify them but also to deal with them in an effective manner to minimize further loss and recoup any monies owed, as quickly as possible.
This has led to the increased demand for automated Credit Scoring to assist organizations in such day-to-day decision-making and also ensure wise decisions from a strategic perspective. Risk scorecards offer a powerful, empirically derived solution to business needs for Credit Scoring. Risk scorecards have been used by a variety of industries for predicting delinquency. It also curtails fraud activities via increased transparency and accountability, and helps in recovering claims. Scoring methodology offers an objective way to assess risk, and also a consistent approach, provided that system overrides are kept to a minimum.
Our specialized Credit Scoring consultants come with a wealth of experience in understanding the nature of each business and selecting the right set of variables to ensure effective credit scoring models to facilitate the organization in its operations. This is accompanied by experienced statisticians and modelers specialized in ensuring a statistically sound and theoretically correct model is produced. Key deliverables include: