I would like to introduce the development of the quantitative finance industry and the popularization of certificates from 5 aspects.
What is Quantitative Finance?The interdisciplinary discipline of mathematics, computer science and finance, combining financial and mathematical models plus programming, is used to carry out quantitative analysis of financial markets and transactions.
What kind of people are suitable for quantification?
Students: Master's students in Finance, Computer Science, Statistics, Physics, Mathematics, Business, Economics and Engineering. Industry engineer: It is best to design circuits, models, numerical control and other contents in the work, so that you can get started faster and quickly enter the working state when you change careers and quantify. Code farmer: Programmers are actually very suitable for changing careers to quantification, the main reason is that quantitative strategy algorithms and so on need to be implemented on machine applications, and programmers will have more advantages in the quantitative industry.
Quantitative employment direction Buy-side research: Public offering**: fundamental quantification, large-scale asset allocation, FOF, index investment, index enhancement, fixed income quantification, etc. Private placement**: high-frequency quantification, machine Xi learning, CTA, options and other compound strategies Brokerage asset management: fundamental quantification, large-scale asset allocation, fixed income quantification (detailed with public offering**, but the road is wilder, play bigger) *Asset management: commodities**, options, CTA strategy-based Bank wealth management: **strategy, FOF, fixed income strategy, asset allocation and other positions Sell-side research: Brokerage Research Institute Metalworking Group: stocks, bonds, **CTA, artificial intelligence, etc. Brokerage Research Institute Strategy Group: fundamentals, industry rotation, workplace allocation, etc. Brokerage Research Institute Macro Group: Category workplace allocation, overseas asset research, macro research and judgment, etc. Middle and back office positions: quantitative risk control, ** evaluation, market monitoring, etc. Quantitative engineer: serve quantitative researchers, build a quantitative system platform.
Quantitative financial talent demand professional requirements: mathematics, physics and computer background talents, more biased towards science and engineering. College requirements: The buyer's research post has high academic requirements, and it is best to have study abroad experience in head colleges and universities such as Qingbei resumption of diplomatic relationsThe middle and back offices are relatively relaxed, but they are also basically 985211 colleges;Generally speaking, the buyer's research post is more demanding than the seller's research post, and the front office is more demanding than the middle and back office.
The importance of CQF to quantification (1) Career development: enhance your competitiveness in the field of quantitative finance;(2) Skill upgrading: covering quantitative finance, financial engineering, computer programming and other aspects of knowledge, and a comprehensive understanding of quantitative finance;(3) Industry development: Quantitative finance is an important development direction of the current financial industry, and the industry needs a large number of CQF certified professionals(4) Risk management: It involves risk management and risk control, helping institutions to more accurately assess and control risks, reduce investment risks, and respond to market fluctuations and risks(5) Innovative application: make better use of artificial intelligence and big data technology to respond to changes and challenges in the financial market, and grasp market trends and opportunities. 