4 Sessions I’m Excited for at Money 20/20

Think Like a Criminal to Beat a Criminal – October 22, 10:15-10:45

Traditional fraud methods weren’t designed for the speed and scale of real-time money movement, which has rendered them vulnerable to Authorised Push Payment (APP) fraud schemes. On this panel, Imran Gulamhuseinwala, Senior Advisory Board Member at The Garage V; Amy Zirkle, Senior Program Manager for Payments and Deposits Markets at the Consumer Financial Protetion Bureau; and Milliesia Armogan, Head of Digital Fraud Investigations for Valley Bank, will dive into the rapidly escalating issue of APP fraud and the challenges it poses, including the roles of financial institutions and telecomms in preventing these scams.

APP fraud is a pervasive issue, resulting in billions of dollars in financial losses each year. Effective defenses against APP fraud must identify and stop fraud in real time, and businesses need to adopt these solutions in order to serve consumers who are seeking safe instant transactions. The stakes for financial institutions are high, and this is a topic that NeuroID is especially interested in from the side of behavioral analytics. I’m excited to hear the expertise that this panel brings to the topic.

Who is on the Hook for APP Fraud? – October 22, 10:55-11:35

In the rapidly evolving landscape of financial crime, understanding the tactics and strategies of criminals is paramount to effectively combating them. This interview with Aaron Seres, FBI Supervisory Special Agent–White Collar Crime, and Camilla Yellets, Director of Financial Crime Compliance at LexisNexis Risk Solutions, will take listeners inside the criminal mind and discuss how businesses can fortify their defenses against popular financial crime schemes.

This session is sure to include interesting takes from Aaron, whose background will bring unique insight to the subject. We’ve seen fraud technology and strategies evolving from the frontlines, and I expect Aaron will have in-depth data to bring to this session. If your company wants to better understand fraudsters and their methods, this session should be at the top of your list.

Efficiently Building and Deploying Fraud Detection Models – October 22, 11:40-12:20

Fraud remains a persistent challenge, costing consumers and businesses trillions of dollars. Staying ahead of financial criminals requires not only understanding their behavioral patterns but also leveraging advanced technologies to efficiently build and deploy fraud detection models. In this session, Karthik Ramasamy, Fraud & Machine Learning Lead at Oscilar; Alex Wu, Founding Data Scientist at Slope; Sakshi Chhabra, Senior Manager, Payment Risk & Data Science at Walmart; and Qiansha Ding, Machine Learning Management at Afterpay, will address key questions, including the significance of deploying new fraud detection models, bottlenecks in accelerating model deployment, and the balance between feature engineering and hyperparameter tuning.

As fraudsters have evolved with bots, genAI, and more, businesses have raced to implement solutions that can quickly detect and stop fraud attacks. At NeuroID, we’ve studied crowd-level data and uncovered trends about how fraud attacks are set up and executed. The best way to stop fraudsters is to stay a step ahead of them, a subject that this panel is well-set-up to speak on.

Opening Pandora’s Box: Real-time Payments, Fraud, and FedNow – October 23, 14:15-14:55

Fraud remains a persistent challenge, costing consumers and businesses trillions of dollars. Staying ahead of financial criminals requires not only understanding their behavioral patterns but also leveraging advanced technologies to efficiently build and deploy fraud detection models. In this session, Karthik Ramasamy, Fraud & Machine Learning Lead at Oscilar; Alex Wu, Founding Data Scientist at Slope; Sakshi Chhabra, Senior Manager, Payment Risk & Data Science at Walmart; and Qiansha Ding, Machine Learning Management at Afterpay, will address key questions, including the significance of deploying new fraud detection models, bottlenecks in accelerating model deployment, and the balance between feature engineering and hyperparameter tuning.

As fraudsters have evolved with bots, genAI, and more, businesses have raced to implement solutions that can quickly detect and stop fraud attacks. At NeuroID, we’ve studied crowd-level data and uncovered trends about how fraud attacks are set up and executed. The best way to stop fraudsters is to stay a step ahead of them, a subject that this panel is well-set-up to speak on.