Combat Trade-based Money Laundering
Detect risk in the complexity of global trade. Reveal hidden relationships between importers and exporters. And identify previously unknown money laundering and fraud.
Criminals are hiding in
plain sight
Traditional monitoring systems can’t handle the scale
Existing transaction monitoring systems produce thousands of false positives so your team has to manually process paperwork to uncover real risk.
Money laundering fuels horrendous crimes
Trade-based money laundering is more than evading import duties or currency restrictions. It’s used to move corrupt funds, enable human and wildlife trafficking, and smuggle weapons.
You need to bridge across financed, open account trade products and normal payments
You might be able to see more in financed trade, but the manual processes are time consuming. And with non-financed trade, you have huge information gaps.
Uncover hidden connections in seconds
Global trade is made up of complex relationships and behaviors between importers and exporters. To manage risk effectively and efficiently, you need to understand the context of their businesses, ownership structures, geographies and where they sit in broader supply chains.
By connecting multiple internal and external data sources, you can see the complete picture of your customers and their counterparties. So your teams can reveal hidden risks and make faster, more accurate decisions about potentially suspicious activity, without being overrun by false positives.
Contextual Decision Intelligence changes the way everyone makes decisions.
reduction in false positives
SAR escalation rate
Improve trade-based money laundering detection with context
Manage the complexity and global scale of trade using contextual monitoring to enhance risk detection from a single platform.
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Combine data
to create context
Combine billions of internal and external data records to create a holistic view of transactional, customer, and counterparty information.
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Add context to
trade relationships
See importer and exporter relationships to understand who they are, where they are, their size, who else they trade with, and where they sit within the supply chain.
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Identify
criminal behavior
Stop trade-based money laundering before it happens, mitigate risk, and detect suspicious behavior pre-trade rather than post-trade using advanced network analytics.
Use the platform for Contextual Decision Intelligence
The introduction of the first automated AML capability in the Trade Finance industry enables HSBC to more effectively concentrate our resources on genuine financial crime risk within our business and make trade safer for customers and society.Adrian Rigby, COO of GTRF, HSBC
Benefits of our Trade AML solution
Context is critical in the detection of trade-based money laundering. Our approach provides more accurate and efficient detection so you can decrease losses, protect your reputation, and increase the quality of alerts while reducing the volume.
Tailored for trade
Manage risk in the complexity and scale of trade across financed and open account transactions.
Reduce manual checks
Rely on data, analytical models and software to automate manual controls.
Reduce false positives
Manage and reduce costs by focusing on the real risk and suspicious behaviors.
Become self-sufficient
Certified staff can change parameters and create new scenarios.
OCR and digitized data is not required
Use the data already available within your organization.
Apply solution to detect fraud
Tackle trade finance fraud using the same platform and data.
Make trade safer
Combine human expertise with advanced analytics to understand and detect criminal typologies.
Create a dynamic single view
See a complete picture of your customer, including size, geography and supply chain.
HSBC enhances financial crime detection with an industry-first automated trade AML system
HSBC Global Trade and Receivables Finance (GTRF) business wanted to improve the effectiveness of its AML monitoring to better combat financial crime.
Quantexa’s contextual approach enables the bank to better identify suspicious patterns and potential criminal networks by combining customer and counterparty trade information, transactional data and external insights.
Our technology automatically screens more than 5.8 million trade finance transactions each year against over 50 different scenarios that indicate signs of money laundering. This is double the average number of checks against indicators at a transaction-level.
eBook
How to effectively tackle trade-based money laundering
Find out how an automated trade AML solution—using contextual monitoring—helps consistently and effectively detect money launderers and prevent financial crime.
Why use the Quantexa platform
Build once, use many, ingest to create a single view with networks
Apply your data to multiple use cases—without replicating data sets.
Make faster,
more accurate decisions
Use context to improve decision accuracy across the organization, find new opportunities and uncover risk.
Scale to billions of records
in batch or real time
Built on proven, scalable open source technologies like Hadoop, Spark and Elastic.
Future-proofed open architecture
Integrate seamlessly into your existing IT ecosystem, with flexible deployment options: native, or containerized for private and public cloud.
Ensure data transparency
Use explainable data linking, advanced AI and decision models for regulatory compliance.
Keep your data secure
Rely on granular security levels for dynamic control, with all activity audited.
Speedy time-to-value
Operationalize your data in a matter of months – not years.
Overcome data
quality issues
Use entity resolution and data volume to overcome missing or poor quality data.
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Book a demo
See how our Contextual Decision Intelligence platform improves the effectiveness of operational investigations, speeds up complex investigations, and detects previously hidden risks.