1. Finance is the basis of quantitative investment, which covers all aspects of the financial market, including stocks, bonds, futures, options and foreign exchange. Students majoring in finance need to learn the basic principles of financial markets, pricing methods of financial instruments, risk management and so on.
2. Statistics is one of the core disciplines of quantitative investment, which mainly studies how to collect, process and analyze data. In quantitative investment, we need to analyze a large number of historical data to find out the laws and trends.
3. Computer science and technology is an important supporting discipline for quantitative investment, which mainly studies the knowledge of computer hardware, software and network. In quantifying investment, we need to use computers to process and analyze a large number of historical data. Therefore, students majoring in computer science and technology need to master various programming languages, database management and cloud computing skills.
The quantitative employment prospects are as follows:
1, quantitative analysis is widely used in the financial industry, including risk management, investment strategy, asset pricing and so on. With the development of financial technology, more and more financial institutions begin to pay attention to the cultivation of quantitative analysis talents. In the next few years, quantitative analysts in the financial industry are expected to continue to grow.
2. Quantitative analysis is the basis of artificial intelligence and machine learning, which provides strong support for the development of these technologies. In the future, with the continuous maturity of artificial intelligence and machine learning technology, the demand for quantitative analysis talents will continue to grow.
3. With the advent of the era of big data, enterprises and government departments have an increasing demand for professionals who can process and analyze large amounts of data. Quantitative analysts can play an important role in data analysis and consulting, and provide targeted data solutions for enterprises.
4. Quantitative analysis is also widely used in scientific research and education. Many scientific research institutions and universities need researchers with quantitative analysis ability to carry out various research projects.