Capital markets are magnets for money launderers

False positives are hiding the real risks

Rules-based transaction monitoring systems are not effectively detecting risk. The result: too many alerts—up to 99% of which are false positives—and mounting costs.


Criminals are becoming more sophisticated

Criminals are hiding their footprints in complex networks of transactions and using electronic trading to take advantage of pitfalls in technology. Without context, money laundering is impossible identify automatically.


Fragmented data distorts decision-making

Customers have multiple relationships across different business units. Siloed data stops you from seeing the bigger picture and identifying suspicious behavior.


See the entire criminal network with contextual monitoring

By using context to build a complete holistic view of your customers and their counterparties, you can:

  • Identify new and emerging risks faster and more accurately
  • Understand who they trade with and the companies they associate with
  • Perform faster and higher quality alert reviews

Then you can automate operations with augmented decision-making to detect risk more effectively and reduce costs by reducing false positives.


Find out what adding context can do for your organization.

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reduction in false positives
SAR escalation rate

Enhance money laundering detection for capital markets using context


Use contextual monitoring to transform the way you make decisions about money laundering risk.




Connect your data to understand your customers

Combine billions of records from internal and external data sources, including the Panama Papers and watchlists, to create a single view of each customer. Bridge the gap between trade surveillance and AML, and prevent silos between business lines.


Use networks to find patterns and reveal criminal behavior

Add context and find patterns to understand what normal behavior looks like. With a contextual view of your customers, you can better detect suspicious activity.


Identify suspicious

Generate contextual alerts to identify high-risk relationships and analyze those that deviate from normal behavior. Use sophisticated AML analytics to identify new and emerging risks, and precisely model customer risk and money laundering typologies.

Use the platform for Contextual Decision Intelligence

Learn more

My data science team and I have spent the past year working with Quantexa to implement a customized, fully dynamic machine learning application leveraging Quantexa’s entity resolution, node and network attribute generation capabilities. Just like Lego blocks, this technology is completely flexible and scalable. Scott Nathan, Managing Director, State Street

Benefits of our Capital Markets AML solution

Drive more precise detection of risk, increase investigator efficiency and deliver more effective SARs to protect your capital markets business.


Reduce false positives

Increase efficiency by cutting time spent on manual data collection and handling false positives.

Improve risk detection

Identify higher risk alerts that require immediate attention.

Eliminate silos

Bridge the gaps between data and workstream silos to ensure full coverage and understanding of your risk.

Adapt quickly to new and emerging risks

Adjust models and user interfaces to adapt to new risks and typologies as they emerge.

File more and higher quality SARs

Detect risks more precisely and create a more complete picture of suspicious activity and ensure coverage.

Reduce operational costs

Speed up investigations by pre-integrating the data, prioritizing alerts and highlighting to investigators where there are risks.

Give investigators better
access to intelligence

Help teams conduct investigations faster with quicker access to required intelligence, including external sources.

Synthesize intelligence across the organization

Create a holistic view of client and employee behavior using various monitoring data, including trade surveillance.


How to protect your capital markets business from financial crime

See why a contextual approach to monitoring is superior to traditional transaction monitoring. Then find out why now’s the time to change—and how to make the move.

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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.

Get the latest thinking, advice and opinions

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.

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