Sean Neary has joined Featurespace as a Subject Matter Expert in Financial Services risk management. Sean joins Featurespace from Barclaycard where he worked in operations and risk technology for over 10 years.
Sean brings his Financial Services industry expertise and insight to his role at Featurespace. As a Subject Matter Expert, his role will be to ensure that Featurespace’s ARIC platform development matches the risk management needs and requirements of the Financial Services sector.
Sean Neary, Featurespace Financial Services Subject Matter Expert, commented: “I joined Featurespace after years of working with, and selecting, risk management systems. It was this deep understanding of the market that led me to choose to work for the best risk management company and I’m pleased to join the talented Featurespace team.”
Martina King, Featurespace CEO, commented: “Our Financial Services customers have informed us that we have the most advanced risk management systems on the market. Sean is here to ensure that we continue to exceed their expectations and we are delighted to welcome him to our team.”
Sean has been in the Financial Services risk management industry for over ten years. Starting his career in the operational environment at Barclaycard, Sean progressed from frontline analyst to complex risk management and its technology.
Sean will be presenting The Good, the Bad and the Fraudulent: Understanding behaviour with machine learning at the upcoming e-Crime Fraud Forum, being held on 8 March 2017 in London.
Featurespace™ is the world-leader in Adaptive Behavioural Analytics and creator of the ARIC™ platform, a machine learning software platform developed out of the University of Cambridge.
Head quartered in Cambridge, UK, Featurespace has deployed ARIC to organisations that have services or products deployed in over 180 countries. Customers include Betfair, Vocalink/Zapp, Camelot, William Hill, and TSYS, the largest third-party processor of Visa® and MasterCard® credit cards in the U.S.
The ARIC™ engine – a real-time, machine learning software platform – monitors individual behaviours to catch new fraud attacks as they happen. The increased accuracy of understanding customer behaviour simultaneously reduces the number of genuine customers whose purchases and transactions are incorrectly declined.
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