The banking and financial services industry needs to drive responsible revenue growth, extract costs to improve operating margins, and comply with complex and evolving regulatory requirements. Resources are stretched beyond capacity. Yield curves have suppressed returns on lending, and investments in new capabilities are seemingly unattainable. Are you looking for insurance analytics company in USA? You are at the right place!
Today’s volatile markets demand that financial institutions have a better understanding of their risk-return while adhering to complex rules and regulations and gaining insight into consumer behavior. We provide the necessary insight to address these issues among others.
Fraud & Identification
The high volume of applications in financial companies such as credit cards and personal loans has invoked challenges for financial institutions to perform quality profile verification in time. Our solutions enable you to identify consumers most likely to fraud or to turn bad debt. These consumers can be prioritized in the application and profiling of check queues. By differentiating the safest of consumer segments from riskier ones, fraud prevention can be maximized by adopting various verification strategies resulting in huge cost-savings.
Consumer profile and demographics data can be used to quantify the risk involved with each consumer. This can be used to segment the consumers on the basis of risk involved. Different pricing strategies can be formulated to different segments to minimize the risk involved. Our risk based pricing & finance solutions are proved very useful in cases of sub-prime portfolio.
Risk based consumer Loan pricing strategies
Early Warning Delinquency
InfoFaces develops a very effective behavioral model to calculate the propensity of Consumers to default in the next billing cycle, using the consumer demographics and their payment history.
Using the Consumer data and bureau data, InfoFaces predicts:
First Payment Defaults
Identify Potential Consumer who will turn bankrupt or bad debt
Identification of Consumers who are more likely to turn fraud
Identification of Consumers who are more likely to do prepayment