Systems and methods for improving computation efficiency in the detection of fraud indicators for loans

A system comprising:

• at least one memory for storing data and computer-executable instructions;
• and
• at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions to:
• receive, from a first information source, applicant data associated with a loan application associated with an applicant, wherein the applicant data comprises at least a name, a social security number, and a street address of the applicant;
• query one or more of a public database and a private database with at least a portion of the applicant data;
• receive, from a second information source that is independent of the first information source, independent information in response to the querying;
• create, with the at least one processor, disambiguated applicant records by performing data cleansing on one or more of the applicant data and the independent information to eliminate one or more name variations;
• determine, with the at least one processor, relationships among the disambiguated applicant records by one or more of:
• creating a core join data structure with at least a portion of all available disambiguated applicant records;
• splitting the core join data structure into persisted parts;
• and
• clustering one or more of the persisted parts and the disambiguated applicant records;
• score, with the at least one processor and based at least in part on the determined relationships among the disambiguated applicant records, at least one parameter of the applicant data;
• determine, with the one or more computer processors, one or more indicators of fraud based on the score of the at least one parameter;
• and
• output, for display, one or more indicators of fraud.

One or more computer readable media comprising computer-executable instructions that, when executed by one or more processors, configure the one or more processors to perform the method of:

• receiving, from a first information source, applicant data associated with a loan application associated with an applicant, wherein the applicant data comprises at least a name, a social security number, and a street address of the applicant;
• querying one or more of a public database and a private database with at least a portion of the applicant data;
• receiving, from a second information source that is independent of the first information source, independent information in response to the querying;
• creating, with one or more computer processors in communication with a memory, disambiguated applicant records by performing data cleansing on one or more of the applicant data and the independent information to eliminate one or more name variations;
• determining, with the one or more computer processors, relationships among the disambiguated applicant records by one or more of:
• creating a core join data structure with at least a portion of all available disambiguated applicant records;
• splitting the core join data structure into persisted parts;
• and
• clustering one or more of the persisted parts and the disambiguated applicant records;
• scoring, with the one or more computer processors and based at least in part on the determined relationships among the disambiguated applicant records, at least one parameter of the applicant data;
• determining, with the one or more computer processors, one or more indicators of fraud based on the scoring of the at least one parameter;
• and
• outputting, for display, one or more indicators of fraud.