Abstract: An automated loan risk assessment system and method are described. The system is adapted to receive information about a loan or an insurance application requesting insurance to cover same. The system calculates a risk score for the loan based on a plurality of risk factors including at least two of a fraud risk factor, a credit risk factor and a property valuation risk factor. The risk score can be used by a loan service provider in deciding whether or not to fund or insure the loan.
Type:
Grant
Filed:
January 14, 2002
Date of Patent:
June 4, 2013
Assignee:
Interthinx, Inc.
Inventors:
Steven C. Halper, Constance A. Wilson, Stephen M. Hourigan
Abstract: An automated loan risk assessment system and method are described. The system is adapted to receive information about a loan or an insurance application requesting insurance to cover same. The system calculates a risk score for the loan based on a plurality of risk factors including at least two of a fraud risk factor, a credit risk factor and a property valuation risk factor. The risk score can be used by a loan service provider in deciding whether or not to fund or insure the loan.
Type:
Grant
Filed:
October 27, 2010
Date of Patent:
February 26, 2013
Assignee:
Interthinx, Inc.
Inventors:
Steven C. Halper, Constance A. Wilson, Stephen M. Hourigan
Abstract: An automated loan risk assessment system and method are described. The system is adapted to receive information about a loan or an insurance application requesting insurance to cover same. The system calculates a risk score for the loan based on a plurality of risk factors including at least two of a fraud risk factor, a credit risk factor and a property valuation risk factor. The risk score can be used by a loan service provider in deciding whether or not to fund or insure the loan.
Type:
Grant
Filed:
October 27, 2010
Date of Patent:
November 20, 2012
Assignee:
Interthinx, Inc.
Inventors:
Steven C. Halper, Constance A. Wilson, Stephen M. Hourigan
Abstract: A predatory lending detection system and method are described. The system is adapted to receive information pertaining to loans, store general loan information, as well as predatory lending laws, and process the loan information to detect violations of applicable predatory lending laws. In particular, the system compares the loan information to the general loan information and to the applicable predatory lending laws, detects variances therebetween, and scores such detected variances to determine a risk category for the loan.
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