C++ Programming for Financial Engineering
Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!

Python for Finance with Intro to Data Science
Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!

An Intuition-Based Options Primer for FE
Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Reply to thread

Message: <blockquote data-quote="Yang_Pop" data-source="post: 92642" data-attributes="member: 10917">excellent and thoughtful article!I take these principles in such a way that divide them into two groups:A. Principle of data, responsibility, and betting;B. Principle of rigor and perpetual education;Principles in group A are more about improving the practical skills for a quant. They are the characteristics that distinguish a student in the program with a real quant in the financial market, and can help students act in their professional "quant" roles more readily. Principle in group B, in my opinion, are good professional characteristics of a qualified quant. However, these characteristics needs more than training in the FE program,  experience, personal perspective and altitude are also involved.  Principles in group A can be achieved by editing the curriculum of a program better than those in group B, I guess.Besides, I think sometimes betting(or judging and making decision) is at least as important as calculating and modeling, since even the orbit of planets can be calculated and predicted while the craziness of public can not. Betting is not just betting, I guess, quants bet based on information, their intuitional judgement and sensibility about the economic circumstances, the market and industry. For example, some analysts can escape from the 2008 financial crisis, just because they "sense" it, and try to look into it, and believe it at last. And the development of such sensitivity would take no less time than the mathematical and engineering training.However, as "people better focus on only one thing then on quite a few". I was thinking that there would be some frictions, and if someone want to do a good job in all these aspects, he might fail to be distinguished in none of them.So, should the quants have a slightly division of their responsibility and capasity?</blockquote>

Verification