Detect Money Laundering in Correspondent Banking

Norah_Alsudani

Low detection rates and high false positives increase your risk

High volumes of false positives

Poor underlying data and inadequate monitoring results in unmanageable volumes of alerts that swamp your team daily and wastes time that could be better spent detecting criminals.

Slow investigations increase costs

Inefficient processes, outdated legacy systems, and siloed data put you over budget and behind schedule.

You can only mitigate the risks you can see

When you don’t have context, you can’t see the complete picture. And this increases the chance of inaccurate decisions and missed risk.

Add context to your investigations

Build a unique record of your customers—and include their customers too. Accurately and efficiently score and risk rate the respondent bank’s customers to understand potential risk with a non-customer.

Contextual Decision Intelligence lets you use your data to uncover unknown KYCC risks and monitor payment flows between parties and highlight risky connections.

So you can enhance AML risk assessments, reduce operational overheads and detect money laundering.

Take a closer look at Contextual Decision Intelligence.

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Know more about your customers’ customer using context

Use a platform that changes the way you detect and prevent money laundering in correspondent banking.

 Connect your data to identify businesses and people

Combine billions of records from internal and external data sources to resolve parties, see business counterparties and their hierarchies, and gain a holistic view of transactional flows, including the role of intermediaries and respondents.

Understand your customers and their relationships

Build networks of customers and their connections to see relationships between originators and beneficiaries, corporate hierarchies and supply chains—and spot unusual connections.

Rapidly identify suspicious activity

Gain a detailed view of cross-border transactions and visualize trends to identify emerging and hidden risk, such as fraud, corruption, and human trafficking. Reduce the operational overheads associated with frequent requests for information from respondent banks.

Use the platform for Contextual Decision Intelligence

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