Abstract: With the development and application of big data and artificial intelligence technology, quantitative investment has developed rapidly in China, and the demand for quantitative professionals in the employment market has become increasingly strong. Although quantitative investment courses are offered in many universities in China, due to the late start of quantitative investment in China, the path of cultivating quantitative investment talents in China is not yet systematic, which also constrains the academia to deliver talents to the industry to a certain extent. This article explores the reform of teaching methods, content, and other aspects based on the problems in quantitative investment courses in universities, in order to improve the quality of teaching and the quality of quantitative investment talent cultivation through curriculum reform.

Key words: Quantitative investment, Talent training, Curriculum development, Teaching methods, Reform tools, Fintech, Future trends