Finance+computer has a bright future, because it is closely related to the financial industry on the one hand and the computer field on the other, that is, it has the advantages of two hot industries at the same time, with a wide range of employment choices and high wages.
From the employment direction, compound talents majoring in finance and computer can not only engage in financial analysis and finance-related positions, but also engage in the development and testing of related platforms and software in IT positions.
In addition, if you don't want to be a programmer and want to engage in a career that combines computer programming knowledge with finance, you can also apply for financial technology software development engineer, financial technology data analyst, financial engineering quantitative analyst with cutting-edge technology and data science knowledge, and risk strategy analyst.
At present, some companies in the market have set up financial+computer teams. For example, Ctrip has a financial big data team dedicated to the research and application of data and artificial intelligence technology in financial risk control and precision marketing. Even some Internet companies specialize in financial technology.
20211217 "20021Tianfu China Financial Technology Index-Financial Technology Industry Development Report" was officially released. The report shows that the salary level of financial technology ranks first in all industries with the monthly salary of 13 124 yuan, which is not only far higher than that of banks and securities.
It can be seen that with the development of the Internet, the demand for social talents is constantly changing. At present, the global demand for high-quality compound talents in finance, computer and other fields has surged, but the current situation is a shortage of compound talents, and the future development prospects of this field are immeasurable.
The interdisciplinary of finance and computer focuses on the integration of economics, finance, computer technology and other disciplines, and pays attention to software programming. It mainly trains high-level compound outstanding financial talents who master financial technology, data science, algorithms and intelligent technology, have knowledge of data processing and mining, programming, network information technology and artificial intelligence, and can meet the needs of banking technology, intelligent investment and programmed trading, insurance technology and regulatory technology.