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Is LegiEX.com reliable?The life of the professional investor is also very simple

Is LegiEX.com reliable? Is LegiEX.com good? Many people want to know the difference between American quantification and Chinese quantification. Here is a brief explanation.

From the point of view of LegiEX.com, there are mainly two ways to introduce the life of foreign professional investors

A, rank

First of all, the scale of quantitative hedge funds in the United States is generally large, with tens of billions of dollars and more than 1,000 employees. Therefore, similar to large domestic companies, there are many levels. For example, there may be seven levels:

Level 1: fresh entry, bachelor's or master's degree, miscellaneous, small code farmer, $100,000;

Level 2: the level at which a doctoral degree is entered may be more important. Many Chinese started quantification at this level, such as the PhD in statistics from harvard and Stanford. Of course, statistics don't equal machine learning, and many of these people don't know much about machine learning, let alone deep learning.

Level 3: Vice President, sounds great, maybe a little captain in charge of 3 or 5 people. Revenue: $50,000, $600,000.

Level 4: Senior Vice President This level can get more than a million dollars, is also relatively good, began to actively change the wife rather than passively change the wife, from the slave to the general starting point.

Level 5, 6: Managing Director. This level of Chinese people are not many, can manage a large group, dozens of people, income of millions to tens of millions of dollars;

Level 7: seems to be CxO level of the company, with fewer Chinese. Tens to hundreds of millions of dollars in revenue.

Second, the work

Then there is their work. In fact, there are many kinds of quants, such as core quant, behavior quant and so on.

Quant core is more mathematical modeling, more random models, less understanding of machine learning. Machine learning is essentially fitting data, but a lot of times when you don't have that much data, you need to understand the underlying laws, you need to be good at modeling, and it's kind of like writing a paper in academia. This kind of work may be out of the company to do their own more difficult division of labor is more detailed, each person only study a small piece. This one is more demanding, the basic requirements of harvard, Stanford statistics ph. d., computers are not good. The statistics doctor that can read harvard, Stanford basically undergraduate course also wants the mathematics of north clear complex course, statistic department the first, visible threshold still has some.

Quant behavior is more about biased statistics, which may be to verify some rules or hypotheses, and it may not require a PhD, even if it is small. There are many aspects of statistical programming, such as python. Digging factors belong to this category, and the threshold is not high.

Still have some partial business, according to the stock, the futures classification and so on, also may have the respective quant, is more partial the trading end, may have the higher request to the programming some, the mathematical request some lower. Such jobs may be less stable and can be laid off for several months.