Qudian
Long Xu is the current Director and Senior Vice President at Qudian. Prior to this, they worked as a Leadership Advisory, Executive Search & Organizational Consulting, and Consumer/Retail Practice at Egon Zehnder from September 2016 to April 2018. Before Egon Zehnder, they worked as a Senior Business Analyst at Capital One from July 2015 to June 2016. From October 2013 to December 2013, they were an intern at Louis Vuitton in Public Relations. Long has also interned at General Motors in Summer 2013, Bain & Company as a Part Time Assistant from March 2013 to June 2013, ZS Associates as a Part-time Analyst from January 2013 to March 2013, Citi as a Global Subsidiaries Group (GSG) Intern from April 2012 to June 2012, and renren.com as a Marketing Planning Intern from January 2012 to March 2012.
Long Xu has a Master of Management Studies from Duke University - The Fuqua School of Business, a Bachelor's degree in Environmental Management from Fudan University, and an Exchange Student degree in Economics, Governance, and Sustainable Development from Uppsala University. Long also has a summer school degree in Management and Decision Making and Why People Change: the Psychology of Influence from Harvard University. Finally, they have a Science degree from High School Affiliated to Renmin University.
Some of their coworkers include Lianzhu Lv - Head of User Experience Department, Yan Gao - CFO. Long Xu reports to Min Luo, Chairman and Chief Executive Officer.
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Qudian
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Qudian Inc. is a leading provider of online small consumer credit in China. They use big data-enabled technologies, such as artificial intelligence and machine learning, to transform the consumer finance experience in China. With the mission to use technology to make personalized credit accessible, they target hundreds of millions of young, mobile-active consumers in China who need access to small credit for their discretionary spending but are underserved by traditional financial institutions due to a lack of traditional credit data and operational inefficiencies of traditional financial institutions. They believe the data technology capabilities combined with the operating efficiencies allow us to understand the prospective borrowers from different behavioral and transactional perspectives, assess their credit profiles with regard to both their willingness and ability to repay and offer them instantaneous and affordable credit products with customized terms, and distinguish the business and offerings.