Teachers and Students from the Department of Finance Visited and Studied in Shanghai Mi-Me Financial Services Co., Ltd

Updated:2019-07-03

On the morning of July 1st, under the leadership of finance department dean Sun Yingjun and Xu Xuejun, graduate students of the Finance Department of the Business School visited Shanghai Mi-Me Financial Services Co., Ltd. Located in Xinqiao Creative Industrial Park, Yinshan road, Pudong New Area, Shanghai, is a company invested by Xiaomi Group, whose main business is consumer credit business based on mobile Internet and big data, at the same time has a mature risk management system and technology, focusing on women users, themedical cosmetology consumption loan No.1 in the country.

Under the guidance of general manager Feng Jian, the students visited the office area. Later, in the conference room, Manager Feng held a colloquium with the students to share various problems encountered in the start-up process of the company, as well as the company’s current operation model and market positioning. In the early stage, the company’s positioning was not clear, problems at the conference venue were frequent, and the business model was repeatedly tested in the actual operation, making it difficult to establish a competitive advantage in the market. In the eyes of students, scenes are not only the hardships and frustrations in entrepreneurship, but also the unremitting efforts to seek opportunities in difficulties and the courage to face difficulties like a lake. Manager Feng looked forward to the future and proposed the business strategy of grafting the original platform of female-related services to improve user stick ability, which shocked the students and inspired them deeply.

Subsequently, the Risk Management Department staff explained how the micro-consumer credit companies control the risk of technical and its methods to the students who are most concerned about. At the individual terminal, the customer group is precisely targeted, operating the detailed customer group. What is even more ingenious is that in the part of the loan issuance review, through the combination of manual and machine methods, use the most popular big data strategies and models to set the rules for quotas. Close contact with the company’s actual operation of various details, but also deepen the students on the flexible use of book knowledge.

At the end of the visit, the students had an in-depth exchange of views with Manager Feng, and the visit ended in applause.

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Communication field

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Students actively asked questions

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posed to a assemble photo


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