IP Library Granted Patent US 7,853,520
Granted Patent B2
US 7,853,520 · App. 12/040,802 · Granted Dec 14, 2010

Total structural risk model

Assignee: American Express Travel Related Services Company, Inc.
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 7,853,520
App. No.
12/040,802
Granted
Dec 14, 2010
Kind
B2
Abstract

The present invention generally relates to financial data processing, and in particular it relates to credit scoring, consumer profiling, consumer behavior analysis and modeling. More specifically, it relates to risk modeling using the inputs of credit bureau data, size of wallet data, and, optionally, internal data.

Claims (41)

1. A method for obtaining a comprehensive consumer default risk value, wherein said consumer default risk value is derived by a risk analysis computer, said method comprising:

requesting, by a user computer, for said comprehensive consumer default risk value for said consumer, wherein said user computer comprises a processor and a non-transitory memory; and

receiving, by said user computer, said comprehensive consumer default risk value for said consumer, wherein said comprehensive consumer default risk value is calculated by determining a comprehensive consumer default risk value, said determining comprises:

obtaining consumer credit data and internal data relating to said consumer at said risk analysis computer, wherein said risk analysis computer comprises a processor, a memory, and a data store;

modeling, by said risk analysis computer, consumer spending patterns of said consumer using said consumer credit data to obtain an estimated spend capacity of said consumer; and

calculating, by said risk analysis computer, said comprehensive consumer default risk value for said consumer based upon said consumer credit data and said estimated spend capacity, wherein said comprehensive consumer default risk value represents a risk associated with said consumer defaulting on an existing debt obligation and

wherein said calculating comprises

assigning, by said risk analysis computer, said consumer to a consumer population segment based upon primary residence value,

selecting, by said risk analysis computer, an appropriate risk factor relationship based upon said consumer credit data and said internal data.

2. The method of claim 1 , wherein said internal data comprises consumer transactional data.

3. The method of claim 2 , further comprising determining a strategy to interact with said consumer based upon said received comprehensive consumer default risk value.

4. The method of claim 2 , wherein said determining a strategy further comprises making credit card approval decisions for said consumer based upon said received comprehensive consumer default risk value.

5. The method of claim 2 , wherein said determining a strategy further comprises soliciting said consumer for credit cards in accordance with said received comprehensive consumer default risk value.

6. The method of claim 2 , further comprising establishing a new credit card account based said received upon comprehensive consumer default risk value.

7. The method of claim 2 , further comprising allowing a balance transfer on a credit card based upon said received comprehensive consumer default risk value.

8. The method of claim 2 , further comprising pursuing collection activities on a credit card based upon said received comprehensive consumer default risk value.

9. The method of claim 2 , wherein determining a comprehensive consumer default risk value further comprises:

receiving, at said risk analysis computer, credit bureau data comprising a plurality of accounts of said consumer over a previous period of time;

identifying, by said risk analysis computer, any balance transfers into at least one of said plurality of accounts based upon said credit bureau data;

discounting, by said risk analysis computer, any spending identified for any of said plurality of accounts for any portion of said previous period of time in which a balance transfer to such account is identified; and

estimating, by said risk analysis computer, a purchasing ability of said consumer based on said credit bureau data and said discounting.

10. The method of claim 1 , further comprising determining a strategy to interact with said consumer based on said received comprehensive consumer default risk value.

11. The method of claim 1 , wherein said determining a strategy further comprises making credit card approval decisions for said consumer based upon said received comprehensive consumer default risk value.

12. The method of claim 1 , wherein said determining a strategy further comprises soliciting said consumer for credit cards in accordance with said received comprehensive consumer default risk value.

13. The method of claim 1 , further comprising establishing a new credit card account based upon said received comprehensive consumer default risk value.

14. The method of claim 1 , further comprising allowing a balance transfer on a credit card based upon said received comprehensive consumer default risk value.

15. The method of claim 1 , further comprising changing an interest rate on a credit card based upon said received comprehensive consumer default risk value.

16. The method of claim 1 , further comprising pursuing collection activities on a credit card based upon said received comprehensive consumer default risk value.

17. The method of claim 1 , wherein said determining a strategy further comprises discontinuing a relationship with said consumer based upon said received comprehensive consumer default risk value.

18. The method of claim 1 , wherein said determining a comprehensive consumer default risk value further comprises:

receiving, at said risk analysis computer, credit bureau data comprising a plurality of accounts of said consumer over a previous period of time;

identifying, by said risk analysis computer, any balance transfers into at least one of said plurality of accounts based upon said credit bureau data;

discounting, by said risk analysis computer, any spending identified for any of said plurality of accounts for any portion of said previous period of time in which a balance transfer to such account is identified; and

estimating, by said risk analysis computer, a purchasing ability of said consumer based on said credit bureau data and said discounting.

19. The method of claim 1 , wherein said obtaining further comprises:

issuing a query to said data store for said consumer credit data;

storing said consumer credit data in a memory.

20. The method of claim 19 , wherein said calculating further comprises:

retrieving said consumer credit data from said memory;

performing, by said processor, a calculation using said consumer credit data to calculate said comprehensive consumer default risk value;

storing said comprehensive consumer default risk value in said memory.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 7, 2025
From: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
To: AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED
Reel/Frame 071052/0439 →
CORRECTIVE ASSIGNMENT TO CORRECT THE SECOND INVENTOR'S NAME PREVIOUSLY RECORDED AT REEL: 020707 FRAME: 0791. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 13, 2015
From: CHOUDHURI, TIRTHANKAR; DEWAN, ANJALI; GUPTA, AMBER; HAGGERTY, KATHLEEN; XU, DI; YUAN, CHAO
To: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
Reel/Frame 036101/0055 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 26, 2008
From: CHOUDHURI, TIRTHANKAR; ANJALI, DEWAN; GUPTA, AMBER; HAGGERTY, KATHLEEN; XU, DI; YUAN, CHAO
To: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
Reel/Frame 020707/0791 →
Continuity (1)
Related Publication 20090222379A1 · Sep 3, 2009