Lecturer: Qingfu Liu (刘庆富, Professor)
Time: Fri 09:50-12:15
Venue: A3-4-301
Zoom: 518 868 7656
Password: BIMSA
Website: https://bimsa.net/activity/SmaRisManinPra/
Introduction
This course aims to develop students' professional skills and innovation ability in the field of quantitative risk management, in order to cope with the impact of cutting-edge artificial intelligence technologies on financial formats, risk situations and management technologies. The course focuses on technology empowerment, integrates AI and big data technology, deepens students' understanding of risk management theory, and improves students' quantitative analysis and decision-making ability. Through case analysis, simulation practice and AI scenario examples, students' practical skills and problem-solving ability are strengthened, and interdisciplinary knowledge such as finance, statistics and computer science is integrated to build a systematic knowledge system.
Lecturer Intro
Qingfu Liu, the professor and doctoral supervisor at School of Economics, Fudan University, was awarded as Shanghai Pujiang Scholar. And adjunct professor at Beijing Institute of Mathematical Sciences and Applications (BIMSA). Prof. Liu obtained a doctorate in management science and engineering from Southeast University, was a postdoctoral fellow at Fudan University, and also a visiting scholar at Stanford University. Prof. Liu is now the executive dean of Fudan-Stanford Institute for China Financial Technology and Risk Analytics, the academic vice dean of Fudan-Zhongzhi Institute for Big Data Finance and Investment, and the vice dean of Shanghai Big Data Joint Innovation Lab. Prof. Liu's research interests mainly include financial derivatives, big data finance, quantitative investment, RegTech, green finance and non-performing asset disposal. He has published more than 80 papers in the Journal of economics, Journal of International Money and Finance, Journal of Management Sciences in China and other important journals at home and abroad, published three monographs, and presided over more than 20 national and provincial research projects. He is currently an associate editor at Digital Finance and an editor at World Economic Papers.
