About this Guide

OFSCS (OFS Compliance Studio) ML4AML (Machine Learning for Anti Money Laundering) API Guide is reference document provides information about the structure, parameters, and return values for each function or method in an API. In addition, instructions for using methods to use for specific tasks.

Audience

This document is intended for the Data Scientists and users who are working in financial crime and allowing them to perform the following use cases:

• Customer risk scoring

• AML event scoring

• Customer segmentation and Anomaly detection

• Shell Account Detection Scenario for AML

• Ongoing Monitoring

• Automated Scenario Calibration (ASC)

See the OFS Compliance Studio Use Case Guide for Use Case details.

Getting Started

ML4AML is a Machine Learning Module within Compliance Studio that has been tailored to address specific use cases in the AML domain using ML4AML APIs.

See Overview section.