Managing Persistent Debt, Static Delinquency and IFRS 9
When we look at how card issuers are dealing with three key factors — the performance of delinquent credit card portfoli...
Collections Predictions 2019: SOP Won’t Cut It
Here’s my advice for 2019 in a nutshell: With IFRS 9 impacts and €780 billion of NPL in Europe alone, stop reading about AI and start thinking about optimization.
The Fraud Problem of Fake Social Security Numbers (Video)
Detective Jesse Gossman provides insights on how to better fight synthetic identity fraud and fake Social Security numbers through multiple layers.
Application Fraud: How Do Synthetic Identities Get Created?
In this video, fraud investigator Jesse Gossman discusses how synthetic identities are created, and why they look so real.
Synthetic Identity Fraud: Interview with a Detective (Video)
In this video, detective Jesse Gossman shares how synthetic identities are used, and the risks associated with Credit Profile Numbers (CPNs).
How To Fight Identity Fraud: Q&A with Andy Procter
It’s a harsh truth that while data and technology in the fraud business abound, true domain expertise is a scarce resource. We speak to Andy Procter, FICO’s own fraud specialist about how to fight identity fraud,
Application Fraud – Pre-Book and Post-Book Controls (Video)
Where in your fraud controls should you be considering post-book controls? And where can you work better with your partners in risk to mitigate losses?
How Can Machine Learning Fight Application Fraud? (Video)
Machine learning analytics must be a critical part of a financial institution’s application fraud control strategy.
Application Fraud – What’s Behind the Surge in Losses? (Video)
Want to learn why application fraud is on the rise? In this clip, I share insights into the three major drivers beyond the tremendous YoY growth rates.
Application Fraud: The Role of AI and Machine Learning
I spoke with one of FICO’s principal scientists, Derek Dempsey, who shared how AI and machine learning are solving problems in application fraud.
Six Steps Banks Should Take to Focus on NPL and NPE
Organisations will benefit from standing back from the BAU and determining how their analytics and technologies, which identify and support the management of distressed customers, need to change to ensure they secure that competitive advantage.
4 Success Factors for Machine Learning in Fraud Detection
Machine learning in fraud detection performs better when we know the strengths and limitations of different analytic toolkits, and understand the factors that determine accuracy.
How the Focus on NPL Is Changing Europe’s Debt Market
Are we making the progress we want to see — and regulators demand — on non-performing loans (NPL)?
Video: Addressing the Rise in Application Fraud
As a result of the rise in application fraud due to EMV adoption in the US, Citi is exploring new authentication protocols and new analytics.
Preventing Application Fraud with Machine Learning and AI
When it comes to application fraud, machine learning analytics must be a critical part of a financial institution’s control strategy.
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