Systems and methods for anti-money laundering analysis
US11263703B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2021 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Feb 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/26
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods that may advantageously apply machine learning to accurately identify and investigate potential money laundering. In an aspect, the present disclosure provides a computer-implemented method for anti-money laundering (AML) analysis, comprising: (a) obtaining, by the computer, a dataset comprising a plurality of accounts, each of the plurality of accounts corresponding to an account holder among a plurality of account holders, wherein each account of the plurality of accounts comprises a plurality of account variables, wherein the plurality of account variables comprises financial transactions; (b) applying, by the computer, a trained algorithm to the dataset to generate a money laundering risk score for each of the plurality of account holders; and (c) identifying, by the computer, a subset of the plurality of account holders for investigation based at least on the money laundering risk scores of the plurality of account holders.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.