Heterogeneous resource allocation for automatic risk targeting and action prioritization in loan monitoring applications

A method of using a specialized computing device for determining a future risk associated with a plurality of accounts, said method comprising:

• In an off-line mode associated with the specialized computing device:
• Receiving by the specialized computing device and storing into associated memory a first plurality of account histories describing the plurality of accounts for risk analysis, the first plurality of account histories stored in and transmitted from a first computer database;
• Setting a maximum value variable m equal to a number of the received first plurality of account histories stored in associated memory;
• Receiving a definition from a single user of a predetermined maximum look-ahead timeframe p;
• Setting an iterative variable i equal to zero;
• While the iterative variable i is less than the maximum value variable m then iteratively performing the following steps a. though b.:
• a. Retrieving and storing into memory associated with the specialized computing device a plurality of variables associated with an account history of the first plurality of account histories equaling the iterative variable i of the plurality of account histories;
• b. Incrementing the iterative variable i by one;
• Training with the specialized computing device a predictive multi-output risk model using all of the pluralities of variables associated with all of the account histories stored previously in memory, the predictive multi-output risk model describing a current risk level and a future risk level according to a periodic basis up to the predetermined maximum look-ahead timeframe p;
• and
• In an online mode associated with the specialized computing device:
• Receiving by the specialized computing device and storing into associated memory a second plurality of account histories, the second plurality of account histories stored in and transmitted from a second computer database;
• Determining, using the specialized computing device, based upon the trained predictive multi-output risk model, which one or more accounts with histories stored in the second computer database have a future risk level greater than a current risk level;
• Accessing a third computer database associated with the specialized computing device, the third computer database storing data regarding servicing histories of the one or more accounts contained in the second database and determined to have future risk level greater than current risk level by the specialized computing device based upon the trained predictive multi-output risk model;
• Determining by the specialized computing device which accounts of the one or more determined to have future risk level greater than current risk level currently require one or more tasks associated with servicing, based upon the data regarding servicing histories previously accessed;
• Prioritizing by the specialized computing device for assignment one or more accounts determined to have future risk level greater than current risk level and requiring one or more tasks associated with servicing;
• and
• Assigning automatically via the specialized computing device the prioritized one or more accounts requiring servicing.