Qin Su

Quantitative Risk Analyst at Signifyd

Qin Su currently serves as the Lead Data Analyst for Fraud Risk at Afterpay since June 2021 and has also held the position of Quantitative Risk Analyst at Signifyd since October 2017. In these roles, Qin Su has focused on applying data mining techniques to manage payment risks and optimize user experience while conducting comprehensive quantitative analysis projects. Prior experience includes working as a Business Analyst at Accenture, where insights were derived from various data sources, and as an Actuarial Analyst at MetLife, handling data analysis and evaluation of mortality and morbidity experience. Educational qualifications include a Master of Science in Business Analytics and Project Management from the University of Connecticut, a Certificate in International Business from emlyon business school, a Master of Science in Mathematics with a focus on Actuarial Science from the University of Connecticut, and a Bachelor of Applied Science in Insurance and Risk Management from Nankai University.

Location

San Jose, United States

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Signifyd

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Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse for retailers.


Employees

201-500

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