For many years, rules-based systems were the preferred method of fraud fighting, but as fraudsters have become more sophisticated, an increasing number of businesses have turned to machine learning. This webinar will walk through the differences between rules and machine learning systems and discuss the pros and cons of both with insights from Paul Curwen, Risk Director at Omise.
Trust and Safety Architect, Sift Science
Kevin Lee is driven by building high performing teams and systems to combat malicious behavior. He has worked for the last 10+ years around developing strategies, tools and teams responsible for billions of users and dollars of revenue. Prior to Sift Science, Kevin worked as a manager at Facebook, Square and Google where he lead various risk, chargeback, spam and trust and safety organizations.
Director of Risk, Omise
Paul Curwen is the Director of Risk at Omise, a leading payment gateway solution in Asia. He has held Risk Management roles at multiple fin-tech companies in Asia and Europe.