Clients include 10 universities including Peking University’s Department of Financial Mathematics and Beijing University of Chemical Technology’s Department of Financial Mathematics.

Under the backdrop of the Internet sweeping the business world, the rapid development of technologies such as big data and artificial intelligence has transformed and upgraded many industries, and its talent training model needs to be updated. For the financial industry, PwC recently reported It is pointed out that the financial technology talent gap is 1.5 million.

“A single financial knowledge and economics knowledge is difficult to develop application-oriented talent, and more importantly, integration with algorithms and technologies.” “Point-width technology” Pepper said: “Financial business knowledge system, basic mathematical modeling ability, big data application ability, complex algorithm implementation ability, thinking ability to solve financial practical problems is the current institution The most concerned financial technology professionals.”

Diankuan Technology is an integrated education and service provider that integrates online education colleges and offline teaching practices. It wants to help universities cultivate and incubate financial and innovative technologies of “financial + big data + algorithms”. Talent.

For colleges and universities, the difficulty in cultivating applied talents is:

  • Lack of practical teaching content in line with the real market, and a practical platform close to the production environment of the organization: Colleges and universities in the establishment of laboratories, attach importance to hardware procurement, but the software system professionalism installed Relatively low, outdated usage scenarios, low usage rate, mismatch with practical teaching, and the software system is designed for teaching scenarios, which does not meet the usage habits and standards of the application

  • The combination of basic theory and practical teaching content is not enough: Although college teachers have achieved very high achievements in scientific research, they are at the teaching level. As well as the lack of practical contact on the application of the organization, the curriculum design is biased towards the theoretical type, relatively lack of practice, and even the phenomenon of leaving the practice.

For the problems of slow change, weak application and lack of data in colleges and universities, Point Width Technology provides content from the course,A complete set of services, from teaching practice platforms to teaching management systems to educational databases. Its products include:

  • Teaching & Management Products: DQ Data supporting teaching data, AFM application financial modeling teaching platform, financial data visualization teaching system, AT edu Quantitative research trading platform, Financial Technology Cloud Teaching Resource Library, Intelligent Teaching Management System, etc.

  • Course:Financial Modeling,Quantitative Practices and Financial Big Data Courses

  • Training services: including teacher practice training and student short-term training

After designing the complete solution, the company has reached a cooperation with the National Financial Mathematics and Financial Engineering Discipline Construction Committee, which is very appealing to the financial technology industry. The committee was initiated by the Department of Financial Mathematics of Peking University. Exploring issues such as talent development, subject construction, etc.) Customers includePeking University’s Department of Financial Mathematics, Department of Financial Mathematics, Beijing University of Chemical Technology, Beijing Normal University 10 departments including the Department of Financial Mathematics and the Department of Financial Mathematics of South China Normal University.

About the team, Diankuan TechnologyGeneral Manager Xu ShuiGraduate from the Department of Economics and Management of Wuhan University, then worked as a manager at the Industrial Bank Wuhan Branch, 2015 Joined Shenzhen Digital Momentum Information Technology Co., Ltd. to become co-founder, successively head of the Internet Business Unit and head of business development; Le Bin, Director of Quantitative Research, Department of Applied Mathematics, Department of Applied Mathematics, Hong Kong Polytechnic University Master’s degree, worked in brokerage, financial technology company, proficient in algorithms and MATLAB programming, with more than 20 algorithms research output, and more than 300 core strategy frameworks. He was the chief quantitative researcher of digital kinetic energy. Director.