Cost Conscious Compliance in AML
In this webinar, we will demonstrate how to measure the success of your AML Compliance & Financial Crime Programme. In addition, we will discuss methods for optimization, use cases and share insider tips to cost reductions.
Data Quality - Efficiency & Effectiveness
This webinar will discuss the specific advantages that improved data quality can deliver to make your financial crime program. Learn how to measure and improve Data Quality Efficiency/Effectiveness and witness Pitney Bowes’ graph visualization demo to drive investigative Efficiency and Effectiveness.
Data Quality - Account Matching & Linking
During this webinar, we will discuss Data Quality challenges and demonstrate techniques that will enable your organization to improve the detection of suspicious activities by better understanding your customers and their network.
Data Quality Automation Webinar
In this webinar, we will explore the best practices for setting up a robust data quality automation program for a financial crime unit (Fraud Prevention and AML) and talk about solutions and components (visual & analytics) that can assist the FIU/AML Investigations.
Real-time Mule Accounts Detection
During this webinar, Pitney Bowes and Matrix-IFS will explore the threats of Mule Accounts and present a cost-effective solution, that combines data analytics and model tuning to detect and stop them, when it counts.
4 Simple Steps to Achieve GDPR/CCPA
During this session, we will discuss the regulatory requirements of GDPR with respect to Fraud and Compliance technology and present a simple solution for all of your compliance needs, using one managed platform.
5th AML Directive Readiness Webinar
During this webinar, Matrix-IFS and Pitney Bowes will explore the challenges that derive from the 5MLD and offer an affordable solution that is based on the institution’s existing AML system.
TM Implementation Best Practices
Learn best practices for designing and implementing an effective transaction monitoring system based on the experience of over 200 TM implementation project.
AML Transaction Monitoring Tuning
Learn how Financial Institutions can leverage advanced analytics techniques to improve the productivity of the rules by setting up appropriate thresholds and how to leverage automation techniques for alert investigation in order to reduce the effort spent on false positives and giving more time for the investigations to focus on the true suspicious activities.
Open Banking and PSD2 & GDPR Regulations
The purpose of this webinar is to help Financial Institutions understand the implications of financial crime and fraud prevention, and get ready to review and upgrade their systems accordingly where required.
Automation (RPA) for AML & FIU
During this session, we will explore a new vision of a modern FIU department, which would incorporate Artificial Intelligence, Machine Learning and advanced analytics to address and reduce your alerts as well as how robotics and automation can play part in reducing risk and simplifying the work of the investigators.
Deal & List Management Systems
During this session, we will explore the complexities around streamlining the deal process from a Control Room perspective, presenting a solution that encompasses the full deal lifecycle including workflows, conflict of interest checks, list management, reporting & controls.
Matrix-IFS' Tuning Accelerator
The Matrix-IFS Rule Simulator application is a #NET based application which simulated different TM rules in order to assist the users in tuning their AML surveillance system.
The application provides:
- An analysis dashboard to review the performance of the existing rules together with a breakdown per model, risk, segments and quality of dispositioned rules.
- System-level configuration possibilities for lists and Transaction Type and Transaction Group relationships.
- Rule level review of the existing configuration, ability to make modifications and review in real-time impact of the change to the volume of alerts, events and entities.
- Drill down screen which supports a detailed review of alert details, underlying events and transactions. Furthermore, the drill-down screen enables different filtering options per risk, segment, disposition, Learning Mechanism impact and more
- Final review of tuned rule results and sampling support
- The entire application is supported by exporting functionality for configuration documentation, sampling and detailed analysis.