What Are Fraud Analytics?
Fraud analytics is an umbrella term covering a lot of technologies — let’s look at the two big categories
Krzysztof Nalborski
Krzysztof joined FICO in October 2017 as a data scientist for fraud solutions in EMEA having graduated with an MSc in Big Data and High Performance Computing from University of Liverpool and an MBA focused on Business Data Analytics from Radford University. His diverse academic background enables him to “build a bridge” from artificial intelligence and machine learning to more effective and customer-centric fraud and financial crime solutions.
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Fraud Analytics for Open Banking: Multi-Layered Self-Calibrating Models
Regarding fraud analytics for open banking, where historical data is not yet available and the evolution of open banking in terms of adoption is still unclear, unsupervised machine learning can be a strong weapon for fighting financial crime events.
Fraud Analytics for Open Banking: Behavioral Profiling
Behavioral profiling approaches are extremely important in tackling fraud that happens when banks share financial data with third parties through application programming interfaces.
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