Heuristic credit risk assessment engine
A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.
1. A computer-implemented method, executed by one or more computer processors, to generate a credit score, comprising:
receiving, by the one or more computer processors and from a network interface device, unstructured background data related to an aggregated transaction set and a plurality of pending transactions, the aggregated transaction set including at least a first correlation between a user of a plurality of users and a first credit score;
encoding, by the one or more computer processors, the unstructured background data to create encoded background data;
accessing, by the one or more computer processors, a heuristic algorithm stored in a second memory;
generating, by the one or more computer processors, a second credit score by executing the heuristic algorithm using the aggregated transaction set, the first correlation, and the encoded background data;
generating, by the one or more computer processors, a second correlation between the second credit score and a subset of the encoded background data associated with a pending transaction of the plurality of pending transactions;
determining, by the one or more computer processors, that the second correlation exceeds a predefined credit score threshold; and
executing, by the one or more computer processors and based at least in part on the determining, the pending transaction.
2. The computer-implemented method of claim 1 , wherein the second credit score complies with a credit reporting standard.
3. The computer-implemented method of claim 1 , wherein the aggregated transaction set comprises a plurality of recent transactions.
4. The computer-implemented method of claim 1 , wherein the aggregated transaction set comprises transactions related to at least one account.
5. The computer-implemented method of claim 1 , wherein the first memory comprises an external transaction server.
6. The computer-implemented method of claim 1 , wherein the second memory comprises an external heuristic server.
7. The computer-implemented method of claim 1 , wherein the second credit score complies with a standard measure of credit worthiness issued by a regulatory authority.
8. A computer system configured to generate a credit score, the computer system comprising at least one of one or more processors or one or more transceivers, the computer system being configured to:
receive, by the at least one of the one or more processors or the one or more transceivers and from a network interface device, unstructured background data related to an aggregated transaction set and a plurality of pending transactions, the aggregated transaction set including at least a first correlation between a user of a plurality of users and a first credit score;
encode, by the at least one of the one or more processors or the one or more transceivers, the unstructured background data to create encoded background data;
access, by the at least one of the one or more processors or the one or more transceivers, a heuristic algorithm stored in a second memory;
generate, by the at least one of the one or more processors or the one or more transceivers, a second credit score by executing the heuristic algorithm using the aggregated transaction set, the first correlation, and the encoded background data;
generate, by the at least one of the one or more processors or the one or more transceivers, a second correlation between the second credit score and a subset of the encoded background data, the subset including at least one pending transaction of the plurality of pending transactions;
determine, by the at least one of the one or more processors or the one or more transceivers, that the second correlation exceeds a predefined credit score threshold; and
execute, by the at least one of the one or more processors or the one or more transceivers and based at least in part on the determining, the at least one pending transaction.
9. The computer system of claim 8 , wherein the second credit score complies with a credit reporting standard.
10. The computer system of claim 8 , wherein the aggregated transaction set comprises a plurality of recent transactions.
11. The computer system of claim 8 , wherein the aggregated transaction set comprises transactions related to at least one account.
12. The computer system of claim 8 , wherein the first memory comprises an external transaction server.
13. The computer system of claim 8 , wherein the second memory comprises an external heuristic server.
14. A non-transitory computer readable medium, comprising computer readable instructions that, when executed, cause one or more computer processors to:
receive, by the one or more computer processors and from a network interface device, unstructured background data related to an aggregated transaction set and a plurality of pending transactions, the aggregated transaction set including at least a first correlation between a user of a plurality of users and a first credit score;
encode, by the one or more computer processors, the unstructured background data to create encoded background data;
access, by the one or more computer processors, a heuristic algorithm stored in a second memory;
generate, by the one or more computer processors, a second credit score by executing the heuristic algorithm using the aggregated transaction set, the first correlation, and the encoded background data;
generate, by the one or more computer processors, a second correlation between the second credit score and a subset of the encoded background data;
determine, by the one or more computer processors, that the second correlation exceeds a predefined credit score threshold; and
execute, by the one or more computer processors and based at least in part on the determining, a pending transaction in the subset of the encoded background data.
15. The non-transitory computer readable medium of claim 14 , wherein the second credit score complies with a credit reporting standard.
16. The non-transitory computer readable medium of claim 14 , wherein the aggregated transaction set comprises a plurality of recent transactions.
17. The non-transitory computer readable medium of claim 14 , wherein the aggregated transaction set comprises transactions related to at least one account.
18. The non-transitory computer readable medium of claim 14 , wherein the first memory comprises an external transaction server.
19. The non-transitory computer readable medium of claim 14 , wherein the second memory comprises an external heuristic server.
20. The non-transitory computer readable medium of claim 14 , wherein the second credit score complies with a standard measure of credit worthiness issued by a regulatory authority.