Matthew Gibbs

US Patent:

20140279387, Sep 18, 2014

Filed:

Mar 15, 2013

Appl. No.:

13/839320

Inventors:

- Washington DC, US
Oleksiy Medinets - Washington DC, US
Edward Dombroski - Washington DC, US
Lois Wesly - Washington DC, US
David Monaco - Washington DC, US
Matthew Gibbs - Washington DC, US
Katherine Melnichenko - Washington DC, US
James Beattie - Washington DC, US
Michael Bales - Washington DC, US
Robert Barclay - Washington DC, US
Patria S. Kunde - McLean VA, US
Amanda Woods - Washington DC, US
Eric Rosenblatt - Derwood MD, US

Assignee:

Fannie Mae - Washington DC

International Classification:

G06Q 40/02

US Classification:

705 38

Abstract:

A system comprises a device including a memory with an automated collateral fraud and risk detection application installed thereon, wherein the application evaluates risk in an acquisition in support of end user decisions by accessing at least one database to retrieve documentation corresponding to the acquisition and secondary information corresponding to the documentation, the documentation and secondary information each including data fields; compares the documentation data fields with corresponding secondary information data fields to identify acquisition defects; applies risk heuristics on the acquisition defects to generate a probability estimation for each acquisition defect; and outputs a risk evaluation for the acquisition including a confidence metric based on an aggregation of the probability estimations.

US Patent:

20140279389, Sep 18, 2014

Filed:

Mar 15, 2013

Appl. No.:

13/840709

Inventors:

- Washington DC, US
Matthew Gibbs - Washington DC, US
Katherine Melnichenko - Washington DC, US
Stacey Shifman - Washington DC, US
Eric Rosenblatt - Derwood MD, US

International Classification:

G06Q 40/02

US Classification:

705 38

Abstract:

A system comprises a device including a memory with an automated collateral fraud and risk detection application installed thereon, wherein the application detects receives a plurality of sequential underwriting submissions, compares corresponding data fields of each sequential underwriting submission to identify whether the corresponding data fields include inconsistent information, and determines if the inconsistent information is indicative of the underwriting manipulation.