Consider the humble email address. Most of us don't give this part of our identity a second thought but there is a wealth of information that can be gleaned from this one piece of data. And when it comes to fraud the email address is the most consistent predictor, more than any other data point.
My next guest on the Fintech One-on-One podcast is Diarmuid Thoma, the head of fraud and data strategy at AtData. He has spent most of his 23-year career focused on fraud prevention and today he leads a team that has built the most extensive email database in the industry.
In this podcast you will learn:
- The history of TowerData and the merger that resulted in the creation of AtData.
- The two areas of the company that Diarmuid leads.
- Why banks and fintech should care about email data.
- Why email is the most consistent fraud predictor.
- What other data points they take into consideration in their fraud models.
- The staggering percentage of every email in existence that are in their database.
- The number of new high risk domains that are being created every day.
- What is returned to the client when they provide an email address to AtData's API.
- How banks and fintechs are using this data today.
- Why they are included very early in the funnel for lenders.
- How the AtData quality score works and what it can tell their clients.
- How they have incorporated AI/ML into their fraud models.
- Details of their recent white paper on balance customer experience and fraud prevention.
- The trends that banks and fintechs should be paying attention to when it comes to email data.
Connect with Diarmuid on LinkedIn
Connect with AtData on LinkedIn
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