Fraud and Financial Crime Convergence: It’s Really Here!
Four key challenges are driving financial institutions to bring fraud and financial crime management together
TJ Horan
TJ Horan is vice president of Product Management at FICO, leading the Solution Product Management team for Lifecycle Products. TJ began his career with DuPont, where he helped design and maintain Expert Systems for process control. Since then, TJ has held a variety of technical and management roles in the fields of analytics, fraud and risk management, and decision management at industry leading companies such as HNC Software and SAS. TJ holds a B.S. in computer science and a M.S. in statistics, both from the University of South Carolina.
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It’s OK, Boomer: Pondering P2P Payments and How to Fight Fraud
In a world where even "old" Boomers are making P2P payments, how can consumers protect themselves from fraud, and what are banks doing to protect their customers?
Fraud and Financial Crime Product Strategy: C is for Convergence
Fraud and compliance need to move beyond their silos to effectively win the war against financial crime
Fraud Predictions 2020: It Could Happen to You
Our need for speed combined with criminals' craftiness makes it easier to trick us into fraudulent payments
Fraud & Payments Predictions 2019: Go Cashless - with Care
TJ Horan explains how his wallet diet paid off - and what this means for fraud in 2019.
Ho Ho Hold It! How to Avoid Fraud at Christmas Time
This holiday season should be a joyous one — for criminals. Holiday spending always makes it easier for fraudsters to steal your money, for two reasons.
A Global Hub of Payments Data for Fighting Fraud
The Falcon Intelligence Network is designed to drive fraud-focused AI innovation while providing a global perspective of fraud detection performance.
Fraud Detection: Adaptive Analytics and Self-Learning AI
Adaptive analytics technologies improve sensitivity to shifting fraud patterns by automatically adapting to recent confirmed case disposition.
Fraud Detection: Leveraging Large Datasets to Develop Models
You can improve predictive accuracy in fraud detection by expanding the dataset used to craft the predictive characteristics used in a machine learning model.
Fraud Detection: Specialized vs. Generic Fraud Analytics
In order to maintain a positive consumer experience, specialized fraud analytics must be used to assess the “tough” questions.
Fraud Detection: Applying Behavioral Analytics
A robust enterprise fraud solution combines a range of behavioral analytics models and profiles, which can understand evolving patterns in real time.
Giving to Charity? Don’t Donate Your Data to Fraudsters
In the age of data breaches, self-broadcasting of personal information, and ever more-sophisticated fraudsters, here are four steps you can take to protect yourself.
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