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.
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.
1
2
3
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.
2
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.
3
Identify suspicious
activity
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
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.
eBook
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.
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
Danske Bank Deploys Quantexa’s AI Platform For Financial Crime Detection
Danske Bank uses Quantexa’s platform to uncover the real-world context in data to detect financial crime and improve investigations.
How To Detect Insurance Fraud Threats [Infographic]
Throughout the pandemic, the threat of fraud
and scams has intensified as the global economy
continues to struggle and financial pressures grow. Find out how automated fraud detection can help insurers save from losses.
How Government Agencies Can Improve Fraud Prevention Using Analytics and Data
Government agencies using data-driven, analytical approaches to fraud prevention can discover risks and threats faster compared to traditional methods – a critical advantage that helps reduce fraud losses and increase the likelihood of recovering funds.
How To Detect Wash Trades and Market Manipulation
Financial criminals are using wash trades to move funds out of high-risk jurisdictions. With the right technology, you can uncover this hidden risk.
IDC Report: Maximize Your Decision Intelligence by Analyzing Contextual Data
By adopting best practices for AI and analytics, companies can enable data-driven decision intelligence to become more agile and competitive.
The FinCEN Files and the Future of AML Investigations
Following the FinCEN Files leak of confidential suspicious activity reports, this article looks at how technology and data can enhance AML investigations and improve financial crime detection.
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.