Computer Science or Math/Economics degree to break in as a Quant?
Alright guys I am a community college student who got accepted to Brown University for Computer Science, and also University of Pennsylvania for Computer Science also. For Math/Economics I got accepted to UCLA and for Computer Science/Business Administration I got accepted to USC.
I was wondering for undergrad, what school do you think will be most advantageous for me to break in the industry as a Quant? I've already finished 3 semesters of Physics and also Linear Algebra with Differential Equations. I can also create applications for the apple store, I don't know if that helps.
As a transfer, am I at a disadvantage when it comes to getting a job in the finance world?
If you were me, what route would you go?
Thanks.
Penn CS. It's the most rigorous of the programs listed. Having a coding background will give you a pretty big edge as a quant (most quants, in my experience, are research-oriented coders, as opposed to people who can build maintainable pieces of software).
You should still take math and econ courses, though.
Is it better to get a job at a software startup, then go get my masters in financial engineering and apply to a hedge fund, or try to first get a job at an investment bank because Hedge Funds don't look at bachelors? What route should I take?
You don't have to plan it out right now. There will be many doors open to you as a Penn comp sci major. I know people from that program that have gone into start-ups, established tech companies, investment banking, and quantitative finance.
Since you seem to be interested in quantitative finance, I know a couple of people that have gone directly to Two Sigma / Citadel from Penn on the quant side (lots of people go to Two Sigma on the software side, but that's presumably not what you want to do).
Agree with Penn CS. All the major quant shops recruit at Penn. Take classes at Wharton in finance/statistics. What a great opportunity.
Completely agree with Ace Rothstein. To answer question #2, no it shouldn't as I was an undergrad transfer back in the day. If you're doing two years opposed to three at whichever school you select you'll just have to hit the ground running immediately to work on securing solid internships.
Where should someone like me try to get internships as a Computer Science Major? Investment Banks, Hedge Funds, or ?
S&T or a Hedge Fund would be a good spot. Especially if you want to be a quant.
Regarding the school choice, Like others said, I agree with Penn.
Also, beyond a perfect GPA, there is two things that are important to asses in your resume before you finish grad school and enter the job market: - 1: Your adaptability to a quant environement : Mastering several quant languages (python+C+sql being a good start), working on dev projects (managing Git, sticking to a project workflow, etc...), mastering basic analytical statistics and pricing-models. - 2: Your edge: Point 1 just makes you acceptable. To enter a HF you need to be above average in at least one specific field. That can be AI in its several aspects, that can be market-microstructure, that can be pricing-models (well no that much anymore today, but used to be).
That in mind, I would try to work on part 1 with a tech intership, not necessarily in finance, but at least data oriented in a dev team. And part 2 with taking as much as possible statistics classes and putting lots of effort in your thesis in a well chosen finance topic.
CS and Stats would be ideal. Definitely not econ.
For quant jobs, which is preferred for graduate studies: Engineering, Mathematics, Physics, Statistics, Computer Science (Originally Posted: 04/19/2017)
I am going to go to an elite grad school for engineering. From the posts here, I get the impression that engineering is the most sought-after degree for quants, but I'm still not sure because in my eyes I would see a computer scientist or mathematician as being slightly more fit than an engineer (Although engineers, I feel, definitely have the greatest scope of knowledge between these disciplines I feel).
Or let me put it this way: an engineering M.S. graduate from Berkeley puts down his resume next to a mathematics M.S. graduate from Princeton and only one gets the interview. Ceteris Paribus, who gets that interview?
Let me know your opinions.
Repellendus adipisci et vel deleniti nemo rerum assumenda. Laborum ipsa sed consectetur natus ea voluptas quas. Deserunt non enim odio quod aut iure voluptas. Aperiam repellendus saepe in necessitatibus quo repudiandae quo. Quisquam voluptate maiores officiis ad.
Dolores suscipit nostrum necessitatibus totam optio culpa incidunt. Explicabo cumque consequatur sit ullam. Est velit autem facere rerum placeat commodi voluptates. Officiis eaque quia aut. In molestias dolor et deserunt. Aliquam quia voluptate similique iusto voluptates quod labore. Cumque neque qui inventore nam dolorem quas assumenda.
Autem aut et nulla consectetur temporibus voluptas. Ea cumque et in sit explicabo voluptas omnis. Laboriosam qui dolor ullam temporibus optio eos. Voluptatem nemo suscipit aliquam reiciendis harum eos.
Earum rerum voluptate rerum numquam iusto sed. Tempora sed ut aut. Est amet pariatur aut id totam. Illo sint iste eius ducimus omnis necessitatibus aspernatur. Et et distinctio nisi cumque ab et. Eveniet aut quia voluptas animi. Et expedita doloremque eligendi accusantium corporis.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...