METHODS AND SYSTEMS FOR CHECK CASHING RISK ANALYSIS

• US 20130339244A1
• Filed: 06/12/2013
• Published: 12/19/2013
• Est. Priority Date: 06/13/2012
• Status: Abandoned Application

• Current Assignee: Certegy Payment Solutions LLC (Fidelity National Information Services Incorporated)
• Original Assignee: Certegy Check Services Incorporated (Fidelity National Information Services Incorporated)
• Inventors: WU, Wenwen, HOBART, Justin, ZHANG, Hao, HOSLER, Jason, ZHANG, Liying, LIN, Yachin, TODARO, Todd, KIBILDA, Kamila, LOM, Cymbre, DWYER, Stuart
• Application Number:
  US13/916,046
• Publication Number:
  US 20130339244A1
• Time in Patent Office: Days
• US Class Current: 705/44
• CPC Class Codes: G06Q 20/042 characterized in that the payment protocol involves at least one cheque
• CPC Class Codes: G06Q 20/40 Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing

Abstract

Methods, systems, and computer-readable media are disclosed for generating a score for a check cashing transaction. A method includes receiving from a cashing station, having cashing station data, a transaction request including check data and identity data associated with a user, and determining whether the transaction request represents a first transaction request from the user at that cashing station. If so, an enrollment validation process and identification authentication process are performed; if not, a repeat validation process and check casher identification process are performed. The method includes determining whether there is a match between at least one of check data or identity data and data in a negative file or a knowledge file. The method includes calculating a score for the cashing transaction based at least in part on the check data, cashing station data, identity data, or checks of previously received transaction requests, determining whether the score is above a threshold, and approving the transaction based on the determination.

Claims

1. A method for processing check cashing requests, comprising:

receiving from a cashing station having associated cashing station data, using at least one processor, a transaction request including check data and identity data associated with a user;

determining whether the transaction request represents a first transaction request from the user at the cashing station, comprising;

if it is determined that the transaction request represents a first transaction request, performing an enrollment validation process and an identification authentication process; and

if it is determined that the transaction request does not represent a first transaction request;

performing a repeat validation process; and

performing a check casher identification process, by retrieving and matching data associated with the user from a database; and

if either of the enrollment validation process or repeat validation process passes, determining whether there is a match between data in a negative file and at least one of the check data or the identity data;

if there is no match in the negative file, determining whether there is a match between data in a knowledge file and at least one of the check data or the identity data;

calculating, using the at least one processor, a score for the check cashing transaction based on at least one of the cashing station data, the check data, the identity data, or checks of previously received transaction requests;

determining whether the score is above a threshold; and

based on the determination, generating, using the at least one processor, an indication that the transaction should be approved.

2. The method of claim 1, wherein determining there is no match in the negative file comprises determining the identity data is not present in the negative file.

3. The method of claim 2, wherein determining whether either of check data or the identity data matches data in a knowledge file comprises:

determining whether a MICR line printed on the check is in the negative file; and

if the MICR line is in the negative file, determining whether the MICR line is on an override list in the knowledge file; and

if the MICR line is not on the override list, declining the transaction.

4. The method of claim 1, wherein determining whether either of the check data or the identity data matches data in a knowledge file comprises:

determining whether a MICR line printed on the check and the identity data matches data in the knowledge file; and

if the MICR line printed on the check and the identity data match data in the knowledge file, approving the transaction.

5. The method of claim 1, wherein calculating the score further comprises:

determining whether at least part of at least one of the cashing station data, the check data, or the identity data appears in a table listing possible values for at least one of the cashing station data, the check data, or the identity data;

based on the determination, determining a number of points associated with the data in the table and summing the points associated with the data in the table to calculate the score.

6. The method of claim 5, wherein if the transaction request represents a first transaction request, then determining the score based on at least one of:

a location of the cashing station, a face amount of the check, a grade associated with the user, a number of payroll checks cashed with a MICR line equal to a MICR line printed on the check, or an amount of time since a first payroll check was cashed by the user.

7. The method of claim 6, wherein determining the score based on a location of the cashing station further comprises:

determining a ZIP code associated with the cashing station;

determining a subset of the ZIP code;

determining a group of ZIP code subsets in which the subset of the ZIP code appears; and

determining the score based at least in part on a number of points associated with the group of ZIP code subsets.

8. The method of claim 5, wherein if the transaction request does not represent a first transaction request, then determining the score based on at least one of:

a value associated with a highest-value check cashed by the user, a number of checks with a MICR line equal to a MICR line printed on the check, a number of approved checks cashed by the user, a number of standard deviations that the face amount of the check is from an average face amount of other checks cashed by the user, a total value of all checks cashed by the user, a number of visits by the user to the cashing station, a number of government checks cashed at the cashing station, or a number of standard deviations that a check number associated with the check is from an average check number of other checks cashed by the user.

9. A system for generating a score for a check cashing transaction, comprising:

a storage device, containing instructions; and

at least one processor configured to execute the instructions to;

receive from a cashing station, having associated cashing station data, a transaction request including check data and identity data associated with a user;

determine whether the transaction request represents a first transaction request from the user at the cashing station, comprising;

if it is determined that the transaction request represents a first transaction request, the at least one processor performs an enrollment validation process and an identification authentication process, and

if it is determined that the transaction request does not represent a first transaction request, the at least one processor;

performs a repeat validation process; and

performs a check casher identification process, by retrieving and matching data associated with the user from a database; and

if either of the enrollment validation process or repeat validation process passes, determine whether there is a match between data in a negative file and at least one of the check data or the identity data;

if there is no match in the negative file, determine whether there is a match between data in a knowledge file and at least one of the check data or the identity data;

calculate a score for the check cashing transaction based on at least one of the cashing station data, the check data, the identity data, or checks of previously received transaction requests;

determine whether the score is above a threshold; and

based on the determination, generate an indication that the transaction should be approved.

10. The system of claim 9, wherein determining there is no match in the negative file comprises determining that the identity data is not present in the negative file.

11. The system of claim 10, wherein determining whether either of check data or the identity data matches data in a knowledge file comprises:

determining whether a MICR line printed on the check is present in the negative file; and

if the MICR line is present in the negative file, determining whether the MICR line is on an override list in the knowledge file; and

if the MICR line is not on the override list, declining the transaction.

12. The system of claim 9, wherein determining whether either of the check data or the identity data matches data in a knowledge file comprises:

determining whether a MICR line printed on the check and the identity data matches data in the knowledge file; and

if the MICR line printed on the check and the identity data match data in the knowledge file, approving the transaction.

13. The system of claim 9, wherein calculating the score further comprises:

determining whether at least part of at least one of the cashing station data, the check data, or the identity data appears in a table listing possible values for at least one of the cashing station data, the check data, or the identity data;

based on the determination, determining a number of points associated with the data in the table and summing the points associated with the data in the table to calculate the score.

14. The system of claim 13, wherein if the transaction request represents a first transaction request, then determining the score based on at least one of:

a location of the cashing station, a face amount of the check, a grade associated with the user, a number of payroll checks cashed with a MICR line equal to a MICR line printed on the check, or an amount of time since a first payroll check was cashed by the user.

15. The system of claim 14, wherein determining the score based on a location of the cashing station further comprises steps of:

determining a ZIP code associated with the cashing station;

determining a subset of the ZIP code;

determining a group of ZIP code subsets in which the subset of the ZIP code appears; and

determining the score based at least in part on a number of points associated with the group of ZIP code subsets.

16. The system of claim 13, wherein if the transaction request does not represent a first transaction request, then determining the score based on at least one of:

a value associated with a highest-value check cashed by the user, a number of checks with a MICR line equal to a MICR line printed on the check, a number of approved checks cashed by the user, a number of standard deviations that the face amount of the check is from an average face amount of other checks cashed by the user, a total value of all checks cashed by the user, a number of visits by the user to the cashing station, a number of government checks cashed at the cashing station, or a number of standard deviations that a check number associated with the check is from an average check number of other checks cashed by the user.

17. A non-transitory computer-readable storage medium comprising instructions that, when executed by at least one processor, causes the at least one processor to:

receive from a cashing station, having associated cashing station data, a transaction request including check data and identity data associated with a user;

determine whether the transaction request represents a first transaction request from the user at the cashing station, comprising;

if it is determined that the transaction request represents a first transaction request, perform an enrollment validation process and an identification authentication process, and

if it is determined that the transaction request does not represent a first transaction request;

perform a repeat validation process, and

perform a check casher identification process, by retrieving and matching data associated with the user from a database; and

if either of the enrollment validation process or repeat validation process passes, determine whether there is a match between data in a negative file and at least one of the check data or the identity data;

if there is no match in the negative file, determine whether there is a match between data in a knowledge file and at least one of the check data or the identity data;

calculate a score for the check cashing transaction based on at least one of the cashing station data, the check data, the identity data, or checks of previously received transaction requests;

determine whether the score is above a threshold; and

based on the determination, generate an indicating that the transaction should be approved.

18. The medium of claim 17, wherein determining there is no match in the negative file comprises determining that the identity data is not present in the negative file.

19. The medium of claim 18, wherein determining whether either of check data or the identity data matches data in a knowledge file comprises steps of:

determining whether a MICR line printed on the check is present in the negative file; and

if the MICR line is present in the negative file, determining whether the MICR line is on an override list in the knowledge file; and

if the MICR line is not on the override list, declining the transaction.

20. The medium of claim 17, wherein determining whether either of the check data or the identity data matches data in a knowledge file comprises steps of:

determining whether a MICR line printed on the check and the identity data matches data in the knowledge file; and

if the MICR line printed on the check and the identity data match data in the knowledge file, approving the transaction.

21. The medium of claim 17, wherein calculating the score further comprises steps of:

determining whether at least part of at least one of the cashing station data, the check data, or the identity data appears in a table listing possible values for at least one of the cashing station data, the check data, or the identity data;

based on the determination, determining a number of points associated with the data in the table and summing the points associated with the data in the table to calculate the score.

22. The medium of claim 21, wherein if the transaction request represents a first transaction request, then determining the score based on at least one of:

a location of the cashing station, a face amount of the check, a grade associated with the user, a number of payroll checks cashed with a MICR line equal to a MICR line printed on the check, or an amount of time since a first payroll check was cashed by the user.

23. The medium of claim 22, wherein determining the score based on a location of the cashing station further comprises steps of:

determining a ZIP code associated with the cashing station;

determining a subset of the ZIP code;

determining a group of ZIP code subsets in which the subset of the ZIP code appears; and

determining the score based at least in part on a number of points associated with the group of ZIP code subsets.

24. The medium of claim 21, wherein if the transaction request does not represent a first transaction request, then determining the score based on at least one of:

a value associated with a highest-value check cashed by the user, a number of checks with a MICR line equal to a MICR line printed on the check, a number of approved checks cashed by the user, a number of standard deviations that the face amount of the check is from an average face amount of other checks cashed by the user, a total value of all checks cashed by the user, a number of visits by the user to the cashing station, a number of government checks cashed at the cashing station, or a number of standard deviations that a check number associated with the check is from an average check number of other checks cashed by the user.