Implementing & Maintaining a Healthy AML Program
During this webinar, Matrix-IFS and Bottomline Technologies will walk you through the steps necessary to implement a well-functioning AML transaction monitoring & sanction screening system, and how to ensure it operates long after go-live.
1. Common AML implementation frustrations & pitfalls
2. Guidelines for a proper AML implementation
3. How to monitor Data quality to ensure a smooth system operation
4. AML solution Demo
Building a Robust AML Data Governance Program - Why, How & Where
Without a reliable Data Governance program in place, AML and Surveillance compliance teams are essentially flying blind; poor data quality causes models to generate incorrect results, missing data may result in false-positive/negative alerts, and misaligned communication between compliance and IT teams could result in regulatory coverage gaps.
During the webinar, Matrix-IFS’ experts will discuss the importance of a proper data governance program for healthy and effective AML and Surveillance programs, and how to build one from the ground up.
Model Validation Best Practices
Matrix-IFS 5-step, best practice approach:
- Governance, Policies, and Controls Review
- Data Assessment
- Conceptual Soundness of Design
- Design Implementation Review
- Output Performance Assessment
AML Compliance in FinTech Webinar
FinTech companies have AML compliance challenges that differ from those of traditional financial institutions. One of the main struggles is the lack of out-of-box solutions that could match their unique business models. To be compliant, they must adapt an existing off the shelf solution or create a brand new one – both options involving considerable cost and risk. Other challenges involve issues around scalability, budget constraints, lack of FinCrime domain and expertise, and more.
During this workshop, Matrix-IFS will discuss the unique AML Compliance issues FinTech and offer cost-effective and scalable solutions.
NY DFS 500 Cyber Security Regulation Readiness Webinar
NY DFS 500 regulation, which will take effect on June 01, 2020, is designed to promote the protection of customer information as well as the information technology systems of regulated entities. During this webinar, our cybersecurity experts summarize and simplify the regulation’s requirements including who does it affect, what are the requirements, and offer recommendations on how to achieve compliance.
Tuning & Model Validation Accelerators for Transaction Monitoring & Sanctions Screening
In this webinar, Matrix IFS will discuss how to use advanced analytics tools to accelerate model validation & tuning processes independently of the TM & OFAC systems and how to accelerate compliance with regulatory standards.
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.