US 2019/0378209 A1 · METHODS FOR EARLY CREDIT RISK ESCALATION AND MANAGEMENT AND DEVICES THEREOF

Abstract

Systems and methods for assessing a credit exposure risk are provided. The methods include collecting credit facility data from at least one credit lender server device; determining, based on the credit facility data, at least one feature vector that is associated with at least one credit borrower device; applying at least one escalation rule to the feature vector; determining whether the at least one feature vector satisfies the applied escalation rule; and when the at least one feature vector is determined as not satisfying the applied escalation rule, performing an escalation action with respect to an entity associated with the credit borrower device.

Claims20

Dependent claims

A method for assessing a credit exposure risk, the method being implemented by a processor on a computing device, the method comprising:

collecting credit facility data from at least one credit lender server device;
determining, based on the credit facility data, at least one feature vector that is associated with at least one credit borrower device;
applying at least one escalation rule to the at least one feature vector;
determining whether the at least one feature vector satisfies the applied at least one escalation rule;
and
when the at least one feature vector is determined as not satisfying the applied at least one escalation rule, performing an escalation action with respect to an entity associated with the at least one credit borrower device.

3 more elements

A system for assessing a credit exposure risk, the system comprising:

a processor;
a memory;
and
a communication interface coupled to each of the processor, the memory, and a display screen,
wherein the processor is configured to:
collect credit facility data from at least one credit lender server device;
determine, based on the credit facility data, at least one feature vector that is associated with at least one credit borrower device;
apply at least one escalation rule to the at least one feature vector;
determine whether the at least one feature vector satisfies the applied at least one escalation rule;
and
when the at least one feature vector is determined as not satisfying the applied at least one escalation rule, perform an escalation action with respect to an entity associated with the at least one credit borrower device.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application

16/434,588Filed 7 Jun 2019

Priority

8 Jun 2018

Published

12 Dec 2019

Term ends

Not estimatedThe source records don’t support an estimate.

Classification6 codes

G06Q 40/03
Finance; Insurance; Tax strategies; Processing of corporate or income taxes: credit; Loans; Processing thereof
G06F 17/18
Complex mathematical operations: for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression…
G06N 20/00
Machine learning
G06Q
Information and communication technology [ict] specially adapted for administrative, commercial, financial, managerial

Methods for early credit risk escalation and management and devices thereof

Life of this patent

Methods for early credit risk escalation and management and devices thereof

Life of this patent

Abstract

Claims20