T.J. JIAO

T.J. JIAO

T.J. JIAO

Data & Insights, Risk management, Uber

Revolution in Fraud Risk Management Driven by Advancing Analytics and Technology
What you’ll learn: Functions and capabilities of fraud risk management systems from leading technology companies. Examples of best practices and use cases in large scale Risk decisions by leveraging rules engine/ data science and analytics. Description: Companies in many industries such as Financial/ Banking/ ecommerce & payment are facing unprecedented challenges from fraud risk and under constant pressure to innovate and keep up with a continuously moving target of threats to the bottom line of the business. Uber Risk team is at the forefront of one of the world’s biggest challenges working on delivering innovative risk management capability to maximize legitimate revenue and sustainable growth. Everyday, we process millions of mobile transactions in over 75 different counties in real time through highly scaled decision platform with sophisticated machine learning models/ risk strategies. This talk will cover: 1. common functions and structure of risk management in technology companies; 2. evolution of concept, tools and techniques in fraud risk management; 3. importance of measurement/ test iterations and 4. Some emerging techniques and their applications at Uber Risk.