Keys to Building a Good Fraud Strategy
During this webinar, Hao Li, DataVisor’s Vice President of Customer Success, will share examples of financial institutions who have built fraud strategies using these principles and lessons learned along the way. He will be covering a variety of topics including:
- Characteristics of fraud attacks
- Exploring common types of fraud
- Understanding the power of segmentation
- Developing an effective fraud strategy
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Why Attend?
There’s no doubt that you want to build an effective fraud detection strategy—the question is, how do you go about it? Is stopping all fraud really the best approach? An overly aggressive approach to fraud prevention can have a negative impact on customer experience. What are some of the key considerations in finding the optimal balance?
Meet the Speakers
Hao Li
Hao Li is the Vice President of Solutions Consulting and Customer Success at DataVisor. Hao has more than 10 years of experience in Big Data Analytics, Solution Architecting and Fraud Management. At DataVisor, Hao led the design, implementation and production support of 25+ enterprise fraud and risk mitigation projects in banking, fintech, e-commerce, travel, and gaming industries. Hao’s expertise in data orchestration, machine learning model utilization, strategy optimization, and review workflow automation has helped customers achieved significant reduction in fraud loss and improvement in risk mitigation efficiency. Hao holds Master degrees from MIT and Cornell University.
About DataVisor
DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.