Anti-Money Laundering Transaction Monitoring

SAS provides end-to-end AML capabilities that can help you integrate data and knowledge about suspicious activity across the enterprise. With SAS, you can:

• Provide unmatched depth of analysis in your AML program.
  • Incorporate all institutional knowledge – e.g., past customer behavior, expected behavior and known CIP information – across all accounts.
• Guard against system obsolescence.
  • A proven data model supports transaction type, product, service, channel, account, customer and household dimensions, as well as the ability to import new data feeds.
• Reduce false positives and enhance investigator performance.
  • Apply scenarios and risk factors to transactions.
  • Automatically generate alerts that are subjected to additional processes – e.g., suppression, risk scoring and routing – so investigators can focus on high-risk events rather than chasing all simple alerts.
• Improve the effectiveness of investigations.
  • An automated risk-classification process risk-ranks alerts based on every customer transaction across every account.
  • All supporting data in the decision process is retained and made available.
• Rapidly aggregate alerts into a case for further investigation.
  • A Web-based investigation interface supports the management, investigation and reporting needs of AML analysts and investigators.
  • All actions pertaining to a case are automatically retained and documented for audit or regulatory review purposes.
• Gain more insight into trends in customer behavior.
  • Advanced business analytics capabilities let you generate ad hoc queries and reports.
  • Powerful data mining capabilities can be used to analyze alert and case aging, analyst productivity and high-risk activities.

The SAS solution was designed to exploit data and information from your fraud and security systems to reduce technology and investigation costs. With SAS, you get:

• Transparency. All scenarios and risk factors are clearly documented to explain the business logic used to generate work items. Contextual "red flags" indicate why one event is considered riskier than another.
• Adaptability. Scenarios and risk factors are developed directly from a bank's AML risk assessment and can be changed easily as your institution's risk exposures change.
• Depth of coverage. The SAS solution employs processes that go beyond traditional parameter-driven, rules-based monitoring systems and use more of your institution's own knowledge to identify potentially suspicious behavior.
• A centralized data repository. A single, consistent enterprise data warehouse lets you manage multiple subsidiaries from a central location. You can monitor more risks with fewer redundant hardware resources while ensuring that data governance and compliance policies are followed.