. Finance and banking firms rely heavily on computer programmers with a background of finance to create and execute programs that perform all kinds of trading operations.Hedge funds for example, which are known for their high-risk high-return strategies hire quantitative analysts that create very complex computer programs that automatically execute trades based on set parameters and trends in the capital markets. Financial computing is in fact a whole sub-sector of the finance industry. Areas such as portfolio optimization, risk analysis, pricing of options, etc. which are key to any investment bank or asset management firm all depend heavily on computer programs. Here is a leading website that provides news, updates, and information relating to the computational finance world: http://www.compplusplus.com/
yes
Science and banking are related in that both require specific procedures to be followed. Computer science is used in banking because most people who work at a bank need to know how to use a computer.
you can get job in banking computer operator..........
I am not completely sure if computer science software engineering still is a growing profession or not. I have done some research and found videos and guides that might help you about it.
Some applications of computational finance include algorithmic trading, quant trading, and high performance trading. Computational finance is a branch of computer science that deals with the study of data and algorithms in finance.
Engineering would be the first profession that comes to mind where the definition of the profession is problem solving. Computer science would be another one.
Banking is highly computerized, at the present time, so bankers have to have some understanding of computer technology.
Watt had a double major at Birmingham-Southern - Business Finance and Computer Science. He was actually the only computer science major in the 92' graduating class. They discontinued the program for several years after that.
The mathematical constant "e" is significant in fields like finance, biology, and computer science because it represents continuous growth and decay. In finance, it is used to calculate compound interest. In biology, it models population growth. In computer science, it is used in algorithms for optimization and cryptography.
depends but money wise, any kind of engineering, computer science or math/finance is pretty beneficial.
Here is the detail, of the 10 professional degrees of the future, based on the growth rate from 2023-2033. Business and Finance Environmental Science Digital Marketing Computer Science Nursing Data Science Healthcare Administration Renewable Energy Technician Artificial Intelligence 10.Cybersecurity full details@ youtu.be/p-iIRmmVkNM
Science, especially physics; any engineering discipline; architecture; economics and finance; computer programming; statistics...