US2012265675A1PendingUtilityA1

Proprietary Risk Management Clearinghouse

Assignee: LAWRENCE DAVIDPriority: Mar 20, 2001Filed: Jun 22, 2012Published: Oct 18, 2012
Est. expiryMar 20, 2021(expired)· nominal 20-yr term from priority
Inventors:David Lawrence
G06Q 40/08G06Q 20/10G06Q 40/12
60
PatentIndex Score
0
Cited by
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References
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Claims

Abstract

A computerized risk management method and system for facilitating analysis and quantification of risk associated with a risk subject on a proprietary basis. A proprietary risk management system combines gathered information with information received from a source such as an automated risk management clearinghouse system and maintains a database to relate risk variables and calculate a measurement of risk. The measurement, which can be a risk quotient or other rating based upon a weighted algorithm applied to the risk variables, is indicative of risk associated with the risk subject. Actions commensurate with a risk quotient can be presented to a user to facilitate management of risk associated with a particular entity or transaction or other transaction. A stored history can be created to mitigate adverse effects relating to a problematic transaction.

Claims

exact text as granted — not AI-modified
1 - 21 . (canceled) 
     
     
         22 . A computer system implemented method for managing risk, the method comprising:
 receiving into the computer system data descriptive of informational artifacts having content related to at least one of: reputational risk, regulatory risk, and legal risk;   defining, within the computer system, risk variables based on the data descriptive of the informational artifacts, wherein the risk variables are generally related to one or more financial transactions;   receiving, into the computer system, proprietary data relating to a particular financial transaction;   identifying, by the computer system, at least two of the risk variables associated with the particular financial transaction;   generating, by the computer system, a numerically weighted value for each of the at least two risk variables, wherein each numerically weighted value indicates a degree of risk associated with the respective risk variable;   adjusting, by the computer system, the numerically weighted values based on one or more relationships between the at least two risk variables;   calculating, by the computer system, a risk quotient based on the adjusted numerically weighted values; and   generating a report comprising the risk quotient and a description of the informational artifacts associated with the at least two risk variables.   
     
     
         23 . The method of  claim 22  wherein the risk quotient comprises a quantitative indication of at least one of: reputational risk, regulatory risk, and legal risk, associated with the particular financial transaction. 
     
     
         24 . The method of  claim 22 , wherein the data descriptive of the informational artifacts is received from a risk management clearinghouse data provider. 
     
     
         25 . The method of  claim 22  further comprising generating a suggested action based on the informational artifacts associated with the at least two risk variables. 
     
     
         26 . The method of  claim 25  wherein the suggested action is directed toward reducing risk. 
     
     
         27 . The method of  claim 25  further comprising recalculating the risk quotient based upon implementation of the suggested action. 
     
     
         28 . The method of  claim 25  wherein the suggested action comprises refusing to perform a transaction. 
     
     
         29 . The method of  claim 25  wherein the suggested action comprises blocking opening of an account. 
     
     
         30 . The method of  claim 25  wherein the suggested action comprises notifying a law enforcement authority. 
     
     
         31 . The method of  claim 22  wherein the data descriptive of a particular financial transaction comprises an identity of a secrecy jurisdiction. 
     
     
         32 . The method of  claim 22  wherein receiving the proprietary data relating to a particular financial transaction comprises screening data traversing a network or communications link. 
     
     
         33 . A system for managing regulatory and reputational risk, the system comprising:
 a memory storing computer executable instructions; and   a computer processor configured to execute the instructions to:
 receive data descriptive of informational artifacts having content related to at least one of: reputational risk, regulatory risk, and legal risk; 
 define risk variables based on the data descriptive of the informational artifacts, wherein the risk variables are generally related to one or more financial transactions; 
 receive proprietary data relating to a particular financial transaction; 
 identify at least two of the risk variables associated with the particular financial transaction; 
 generate a numerically weighted value for each of the at least two risk variables, wherein each numerically weighted value indicates a degree of risk associated with the respective risk variable; 
 adjust the numerically weighted values based on one or more effects the at least two risk variables can have upon each other; 
 calculate a risk quotient based on the adjusted numerically weighted values; and 
 generate a report comprising the risk quotient and a description of the informational artifacts associated with the at least two risk variables. 
   
     
     
         34 . The system of  claim 33 , wherein the data descriptive of the informational artifacts is received from a risk management clearinghouse data provider. 
     
     
         35 . The system of  claim 33  wherein the computer processor further executes the instructions to generate a suggested action based on the informational artifacts associated with the at least two risk variables. 
     
     
         36 . The system of  claim 35  wherein the suggested action is directed toward reducing risk. 
     
     
         37 . The system of  claim 35  wherein the suggested action comprises refusing to perform a transaction. 
     
     
         38 . The system of  claim 35  wherein the suggested action comprises blocking opening of an account. 
     
     
         39 . The system of  claim 33  wherein the data descriptive of a particular financial transaction comprises an identity of a secrecy jurisdiction. 
     
     
         40 . The system of  claim 33  further comprising calculating an average risk quotient for multiple financial transactions associated with a financial institution. 
     
     
         41 . A non-transitory computer-readable medium comprising computer readable instructions that, when executed by one or more computer processors, direct the one or more computer processors to:
 receive data descriptive of informational artifacts having content related to at least one of: reputational risk, regulatory risk, and legal risk;   define risk variables based on the data descriptive of the informational artifacts, wherein the risk variables are generally related to one or more financial transactions;   receive proprietary data relating to a particular financial transaction;   identify at least two of the risk variables associated with the particular financial transaction;   generate a numerically weighted value for each of the at least two risk variables, wherein each numerically weighted value indicates a degree of risk associated with the respective risk variable;   adjust the numerically weighted values based on one or more relationships between the at least two risk variables;   calculate a risk quotient based on the adjusted numerically weighted values; and   generate a report comprising the risk quotient and a description of the informational artifacts associated with the at least two risk variables.   
     
     
         42 . The computer-readable medium of  claim 41  wherein the instructions further direct the one or more computer processors to generate a suggested action based on the informational artifacts associated with the at least two risk variables.

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