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Inefficient processes, outdated legacy systems, and siloed data put you over budget and behind schedule.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.
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.
reduction in false positives
improvement in complex entity resolution rate
Know more about your customers’ customer using context
Use a platform that changes the way you detect and prevent money laundering in correspondent banking.
Benefits of our AML solutions for correspondent banking
Find possible risk associated with non-customers, understand where criminal activity could be rife, and enhance your AML investigations.
Identify unknown KYCC risks
Enhance AML risk assessments by including your customers’ customers.
Uncover potentially illicit transaction flows
Understand more about transactions when a bank acts as an intermediary.
Track respondent banks and payment flows, and analyze the flow of funds between banks.
Reduce false positives
Add context to your data to detect suspicious behavior.
Identify unusual flows or connections
Highlight abnormal flow concentration or risky connections between parties.
Support due diligence and AML/CTF processes
Assess the entire correspondent banking relationship through detailed behavioral analysis.
Detect possible corruption or conflict of interest
See where bank directors are linked to companies.
Visualize transaction trends
Interact with data and examine single and multiple transactions, and carry out thematic reviews.
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.
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.
Operationalize your data in a matter of months – not years.
Use entity resolution and data volume to overcome missing or poor quality data.
Get the latest thinking, advice and opinions
Creating Value For The Enterprise Using Data
In this episode, Vishal Marria, CEO at Quantexa, speaks with the Chief Data Scientist at Dun & Bradstreet, on overcoming common data challenges, digital resilience, and creating enterprise value using in AI and data & analytics.
How Danske Bank Is Adopting Data and Analytics Technology
To maximize the value of data, enterprises need the right IT infrastructure in place. In this episode, Bo Svejstrup, CIO at Danske Bank discusses resolving legacy data challenges, improving collaboration between business and IT, and the future of cloud adoption.
How Allianz Is Transforming Using Tech
Quantexa speaks with Allianz CEO to discuss the challenges of adopting technology across the enterprise, the role of data in customer-centricity, and leading transformation in the insurance industry.
New Risk Factor Guidelines to Strengthen Financial Crime Detection
The updated European money laundering and terrorist financing risk factor guidelines highlight taking into account “wider, contextual factors.” Find out how contextual decision intelligence can ensure enhanced risk detection and due diligence measures.
Deloitte and Quantexa Partner to Tackle Global Illicit Finance and Economic Crime Risk
Deloitte will utilise Quantexa’s Contextual Decision Intelligence (CDI) platform to enable its clients to leverage technology and analytics as part of robust Economic Crime Governance and Risk Management Frameworks.
QuanCon 2021: Meaningful Data for Trusted Decisions
QuanCon 2021 Virtual explored compelling thought leadership from the Altimeter Group and Accenture, knockout presentations from State Street and ABN AMRO, and an in-depth show and tell on Quantexa’s new capabilities.
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.