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QuantaVerse adds automated high-risk entity reviews to its Financial Crime Investigation Report

Thursday 5 November 2020 08:44 CET | News

QuantaVerse has upgraded its entity-based Financial Crime Investigation Report (FCIR) to assist financial institutions in conducting periodic entity risk reviews.

Federal bank regulatory agencies require that financial institutions regularly review and segment all customers based on risk. For example, customers deemed risky by a financial institution are to be reviewed at least once each year. Historically, human investigators manually search through multiple databases and the Internet to determine customer risk, but this process is time-consuming, costly, and inconsistent.

The QuantaVerse High-Risk Entity Report documents risk discovered by the QuantaVerse AI Financial Crime Platform. The platform automates the research work required to assess entity risk, such as adverse media, jurisdiction, transactional relationships, typologies that indicate potential money laundering, and more. By reviewing the completed report, investigators can assess risk more quickly and evaluate more customers. This QuantaVerse offering also helps segment customers according to a bank’s risk appetite (for example: very high, high, medium, and standard) and provides risk scores (0-100) calculated by the QuantaVerse machine learning engine.

QuantaVerse High-Risk Entity Reports are available now to customers using the QuantaVerse AI Financial Crime Platform.


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Keywords: QuantaVerse, financial crime, risk review, machine learning, customer onboarding, security, digital identity
Categories: Securing Transactions | Digital Identity, Security & Online Fraud
Countries: World
This article is part of category

Securing Transactions