IP Library › Patent Application 13182228
Patent Application
App. No. 13/182,228

System and Method for Income Risk Assessment Utilizing Income Fraud and Income Estimation Models

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Quick Facts
Patent No.
US None
App. No.
13/182,228
Abstract

A method of income validation and evaluation for income risk assessment is disclosed in one embodiment. The method includes receiving a borrower loan request including a plurality of borrower data selected from the group consisting of: an employment type code, a borrower date-of-birth, a borrower zip code and a stated monthly income. The method further includes analyzing the received plurality of borrower data with respect to a stored plurality of borrower data to generate a normalized plurality of borrower data, implementing, if the stated monthly income is non-zero, an income fraud model utilizing at least the normalized plurality of borrower data including the employment type code, the borrower date-of-birth and the borrower zip code to determine an income fraud score based on the normalized plurality of borrower data, implementing an income estimation model utilizing at least the normalized plurality of borrower data and an age-band to determine a predicted income, and determining a risk assessment value as a function of the income fraud model and the income estimation mode.

Claims (40)

1 . A method of income validation and evaluation for income risk assessment, the method comprising:

receiving a borrower loan request including a plurality of borrower data selected from the group consisting of: an employment type code, a borrower date-of-birth, a borrower zip code and a stated monthly income;

analyzing the received plurality of borrower data with respect to a stored plurality of borrower data to generate a normalized plurality of borrower data;

implementing, if the stated monthly income is non-zero, an income fraud model utilizing at least the normalized plurality of borrower data including the employment type code, the borrower date-of-birth and the borrower zip code to determine an income fraud score based on the normalized plurality of borrower data;

implementing an income estimation model utilizing at least the normalized plurality of borrower data and an age-band to determine a predicted income; and

determining a risk assessment value as a function of the income fraud model and the income estimation mode.

2 . The method of claim 1 , wherein the risk assessment value comprises a high risk value, a medium risk value and a low risk value.

3 . The method of claim 1 , wherein the received borrower loan request is provided in a structured data format.

4 . The method of claim 1 , wherein the age-band is a five (5) year age range determined to no exceed the borrower date-of-birth.

5 . The method of claim 1 further comprising:

determining, if the stated monthly income is non-zero, an income deviation as the difference between the predicted income and the stated monthly income.

6 . The method of claim 1 further comprising:

determining a confidence interval based on the normalized plurality of borrower data.

7 . The method of claim 7 , wherein the normalized plurality of borrower data include a job title.

8 . The method of claim 7 , wherein determining a risk assessment value further comprises determining a risk assessment value as a function of the confidence interval.

9 . A system of income validation and evaluation for income risk assessment, the system comprising:

a computer-processor in communication with a memory device, wherein the memory device is configured to store computer-processor executable instructions to:

store a borrower loan request in at least a portion of the memory device, wherein the borrower loan request includes a plurality of borrower data selected from the group consisting of: an employment type code, a borrower date-of-birth, a borrower zip code, an age-band and a stated monthly income;

standardize the plurality of borrower data with respect to an aggregate plurality of borrower data stored in at least a second portion of the memory device;

implement an income fraud model utilizing at least the standardized plurality of borrower data to determine an income fraud score;

implement an income estimation model utilizing at least the standardized plurality of borrower data to determine a predicted income as a function of at least the age band; and

determine a risk assessment value as a function of the income fraud model and the income estimation mode.

10 . The system of claim 9 , wherein the income fraud model is implemented when the stated monthly income is determined to be a non-zero value.

11 . The system of claim 9 , wherein the risk assessment value represents one of: a high risk category, a medium risk category and a low risk category.

12 . The system of claim 9 , wherein the borrower loan request is received via a communication module in communication with the computer-processor and the memory device.

13 . The system of claim 12 wherein the borrower loan request is provided in a structured data format.

14 . The system of claim 9 , wherein the predicted income is determined as a function of the age-band.

15 . The system of claim 9 , wherein the age-band is a five (5) year age range determined to no exceed the borrower date-of-birth.

16 . The system of claim 9 , wherein the memory device is further configured to store computer-processor executable instructions to further comprising:

determine, if the stated monthly income is non-zero, an income deviation as the difference between the predicted income and the stated monthly income.

17 . The system of claim 9 , wherein the memory device is further configured to store computer-processor executable instructions to further comprising:

determine a confidence interval based on the normalized plurality of borrower data.

18 . A method of income validation and evaluation for income risk assessment, the method comprising:

analyzing a received plurality of borrower data with respect to a stored plurality of borrower data to generate a normalized plurality of borrower data,

wherein the received plurality of borrower data includes a plurality of borrower data selected from the group consisting of: an employment type code, a borrower date-of-birth, a borrower zip code and a stated monthly income;

implementing, if the stated monthly income is non-zero, an income fraud model utilizing at least the normalized plurality of borrower data to determine an income fraud score based on the normalized plurality of borrower data;

implementing an income estimation model utilizing at least the normalized plurality of borrower data and an age-band to determine a predicted income; and

determining a risk assessment value as a function of the income fraud model and the income estimation mode.

19 . The method of claim 18 , wherein the risk assessment value comprises a high risk category, a medium risk category and a low risk category.

20 . The method of claim 18 , wherein the age-band is a five (5) year age range determined to not exceed the borrower date-of-birth.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Jul 21, 2026
From: BANK OF AMERICA, N.A., AS COLLATERAL AGENT
To: CORELOGIC SOLUTIONS, LLC
Reel/Frame 076028/0377 →
RELEASE OF SECURITY INTEREST RECORDED AT 032798/0047 Recorded Jun 5, 2021
From: BANK OF AMERICA, N.A.
To: CORELOGIC SOLUTIONS, LLC
Reel/Frame 056493/0957 →
SECURITY INTEREST Recorded May 1, 2014
From: CORELOGIC SOLUTIONS, LLC
To: BANK OF AMERICA, N.A.
Reel/Frame 032798/0047 →
MERGER Recorded Feb 13, 2012
From: CORELOGIC INFORMATION SOLUTIONS, INC.
To: CORELOGIC SOLUTIONS, LLC
Reel/Frame 027694/0087 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 6, 2012
From: XIE, JIANJUN; NOE, ROGER; BARNETT, MIKE; GADDIS, BRENT; BAKER, JAMES; CHI, HOI-MING
To: CORELOGIC INFORMATION SOLUTIONS, INC.
Reel/Frame 027655/0338 →