TOPIC: Webinar

Demonstration | End-to-End High-Risk Customer Management & CDD/EDD - Join us on May 29

May 29 at 12:30 PM - 01:30 PM EST
End-to-End High-Risk Customer Management & CDD/EDD
Identification, Stratification, Surveillance & EDD Workflows for High-Risk Customers


Register Now

How accurate is your institution’s customer risk profile? A one-size-fits-all approach to customer risk can lead to thousands of high-risk customers being flagged for continuous review, increasing your workload.
 
Verafin’s end-to-end solution for High-Risk Customer Management and CDD/EDD helps you effectively manage higher-risk categories of customers, including ATM Owners, MRBs, MSBs, NGOs, and more.

Join us as we demonstrate how Verafin groups customers in high-risk categories, stratifies the risk within those groups and, through ongoing surveillance, provides a more accurate picture of your institution’s risk profile.

Register Now

    ACAMS Replay - 1 CAMS Credit | Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention - Today, May 22

    Webinar
    Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention
    Today, May 22 from 12:30 – 1:30 PM EST

    Register Now

    In this insightful session, Brendan Brothers, Co-Founder of Verafin and Anti-Financial Crime Specialist, will discuss the evolution of financial crime and how financial institutions can embrace innovative approaches to proactively prevent fraud and combat crime ring activity.

    Brendan will outline how financial institutions can leverage big data, machine learning technology and 314(b) information sharing for effective fraud prevention, including proactive trend identification, reduction in false positive results, and collaborative investigations of multi-institutional crime ring activity.

    Learning Objectives
    • Understand the limitations and challenges of conventional fraud prevention approaches
    • Leveraging big data, machine learning technology, and 314(b) information sharing to mitigate losses and prevent fraud
    • Enhancing detection, strengthening investigations, and improving reporting to law enforcement
    Register Now

      Demonstration | Mitigating and Managing Deposit Fraud Losses - Join us on June 5

      June 05 at 12:30 PM - 01:30 PM EST
      Mitigating and Managing Deposit Fraud Losses
      Cross-Channel Analysis & Machine Learning for Improved Fraud Detection


      Register Now

      Financial institutions across the country are facing an increasing number of deposit fraud attacks as criminals take advantage of the anonymity and convenience of ATM and mobile channels. Meanwhile, consumers are increasingly falling victim to fraud scams, which can have significant emotional and financial effects.

      Join us for an overview of Verafin's Fraud Detection and Management which includes powerful detection capabilities to mitigate losses from first-party ATM, In-Branch and Mobile deposit schemes, and protects your customers from third-party fraud scams. 
       
      Highlights of this software demonstration include:
      • Targeted alerts for first-party deposit fraud
      • Targeted alerts for deposit fraud scams
      • Machine Learning deposit fraud models
      • Risky Check Analysis
      • Fraud Management solutions
      Register Now

        Webinar - 1 CAMS Credit - May 22 | Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention

        1 CAMS credit
        May 22 at 12:30 PM - 01:30 PM EST
        Leveraging Big Data and Collaborative Investigations for Effective Fraud Prevention
        Complimentary ACAMS Webinar Rebroadcast

        Register Now

        In this insightful session, Brendan Brothers, Co-Founder of Verafin and Anti-Financial Crime Specialist, will discuss the evolution of financial crime and how financial institutions can embrace innovative approaches to proactively prevent fraud and combat crime ring activity.

        Brendan will outline how financial institutions can leverage big data, machine learning technology and 314(b) information sharing for effective fraud prevention, including proactive trend identification, reduction in false positive results, and collaborative investigations of multi-institutional crime ring activity.

        Learning Objectives
        • Understand the limitations and challenges of conventional fraud prevention approaches
        • Leveraging big data, machine learning technology, and 314(b) information sharing to mitigate losses and prevent fraud
        • Enhancing detection, strengthening investigations, and improving reporting to law enforcement
        Register Now

          May Webinar - Ask Me Anything Q&A: Risk Managers Tell All

          Here’s your chance to ask the experts! We’ve compiled a stellar group of risk managers for a video panel discussion. From career advice to best practices, you’ll have the opportunity to pick the brains of battle-tested risk professionals. Register today!

          Our panel will tackle questions like:

          - How do you divide and conquer all the kinds of banking risks?
          - How does your risk team interact with IT, compliance, the board, etc?
          - What’s the most unusual occurrence in an exam/board meeting that impacted risk?
          - What keeps you up at night, and what are you doing about it?
          - What’s your best piece of advice to share?
          - What character attributes allow you to be successful in your role?

          Whether you’re a seasoned banker or a neophyte to the industry, tune in to (anonymously) ask industry peers about their trials and tribulations, and seek advice on how to be a successful risk manager today.

          Meet Our Panel of Risk Experts:

          DEVON LYON
          Vice President, Strategic Research & Risk Management
          Direct Financial Credit Union

          JENNIFER ROXBURY
          Senior Vice President and Chief Operating Officer
          Farmers National Bank

          LYNN ENGLISH
          Senior Vice President of Risk Management
          Lafayette Federal Credit Union

          RONNIE EMMANOULAKIS
          Manager, Vendor Management & Data Analytics
          Sunrise Banks

          Register today!

            Demo | End-to-End High-Risk Customer Management & CDD/EDD - Join us on May 29

            May 29 at 12:30 PM - 01:30 PM EST
            End-to-End High-Risk Customer Management & CDD/EDD
            Identification, Stratification, Surveillance & EDD Workflows for High-Risk Customers


            Register Now

            How accurate is your institution’s customer risk profile? A one-size-fits-all approach to customer risk can lead to thousands of high-risk customers being flagged for continuous review, increasing your workload.

            Verafin’s end-to-end solution for High-Risk Customer Management and CDD/EDD helps you effectively manage higher-risk categories of customers, including ATM Owners, MRBs, MSBs, NGOs, and more.

            Join us as we demonstrate how Verafin groups customers in high-risk categories, stratifies the risk within those groups and, through ongoing surveillance, provides a more accurate picture of your institution’s risk profile.

            Register Now