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If you ask questions like that, it means that you haven't done your research, and you have no independence. Therefore, you won't get in.

To move up the corporate ladder, you need to know the right people and have them advocating you. This applies to all industries and companies.

An alternative: http://money.cnn.com/2014/08/28/investing/ben-wu-dota-video-games/index.html?sr=fb083114videogamejob1pstorylink

Has anyone got any experience with Lenovo X1 Carbon (the 2nd generation 2014 model)? Any opinions?

You'll always be learning even after you have spent years or decades programming.

Main difficulty is fully expressing yourself using the language i.e. make good software.

If you want to do a PhD, remove the unnecessary and focus on the essentials. The first step is to first ask yourself if you really like doing research in a particular field (subareas of finance, sciences, whatever). To get an idea on what research is like, look at the research program...

Policies concerning the hiring of foreigners in Singapore are changing in recent times: http://www.efinancialnews.com/story/2014-04-03/singapore-talent-war-intensifies-as-immigration-curbs-kick-in?ea9c8a2de0ee111045601ab04d673622

Frank Zappa's Cosmik Debris

Computational sciences (in fluid/solid mechanics, chemistry, earth sciences, physics, etc.) have existed long before specialized programs like the ones you listed become formal. In that regard, they are not really new.

Frankly, doing a PhD is hard in any school.

Apply and let the dice fall where it may.

Forget about all the after-PhD plans. If you are serious about doing a PhD, think about what research area you think you want (and can) to do, and then apply to the relevant program. Then see what you get and make your decision. The rest is too uncertain to think about, simply from the fact that...

A PhD program is about doing research. Choose your program based on your research interests instead of what lies after your PhD.

Life is hard no matter which path you choose.

I guess they will look at your application as a whole. Depending on what courses you have taken in your MFE and their relevance towards the PhD program that you are applying to, your MFE may or may not matter. Again, it is about how they feel on your ability to do research. I don't think having...

When schools evaluate your application, I think they will look at your grades.

I don't understand, aren't you already doing a PhD in mathematical finance?

The universities that you are considering do both theoretical and experimental work. Apply to schools or choose your potential advisors based on the research area you would like to be in. You need to be a little flexible here because the nature of the research projects/topics depends a lot on...

Is publishing papers possible?

Singapore plans to cut back on the intake of foreign employees in the next 5 years http://www.littlespeck.com/content/people/CTrendsPeople-120317.htm but I don't know how this will affect the financial industry specifically.

If you're interested in computation and numerical methods, perhaps a degree in computational and applied math is more suitable.

Hi Jose, thanks for the info.

Hi all, I saw this paper: http://www.pages.drexel.edu/~bdm25/excel2007.pdf This paper was published in 2008 so I'm not sure if these problems still exist in the current versions. Also, do financial institutions do a quality assurance check on their computational tools using benchmark problems?

In the next few years, spend some of your time networking with the right people - that may be more helpful in aligning your career path than any degree.

Looks promising.

See here: http://public.randomnotes.org/richard/PhDtalk.html

Both schools are fine - focus more on what you want to do for research.

If you are thinking about what you want to do after a PhD before even starting a PhD, then don't do a PhD.

What has your question got to do with quantitative finance?

http://lmgtfy.com/?q=finance+journal+rankings

You'll choose an advisor based on your interest, the availability of funding, and how well you think that person can guide you in the area you want to work in.

1) The "E" in "FE" stands for Engineering. 2) People pay you to make things work, in whatever company or institution - PhD, academia included. 3) In Finance, math isn't everything. 4) The grass is always greener on the other side.

You need to start reading papers and books.

I assume that it would be logical for Cornell to later have its financial engineering program based in NYC?

The organization will tell you what you need to program in. Discussion of which one is better is irrelevant.

This is a wide area - could be numerical analysis, computational, physics/mechanics-related, algorithms, etc. Could be done in engineering, physics, mathematics, computer science, etc. I have seen some people in this area who moved to finance. I believe Sylvain Raynes did computational (fluid...

As in those who made the HF code. Perhaps they too, are incompetent? I don't know.

Just wondering - would their coders be as competent (for the lack of a better word) and well paid as the ones in the financial industry?

So assume that you want to apply to an MFE program - are you going to tell them that you need an MFE because having a PhD in financial mathematics isn't enough to get a job in the finance industry? It seems strange that you make it sound as if your PhD isn't worth the time and effort. So why do...

Isn't having a PhD suppose to mean that you can learn something?

This is really helpful. Thanks.

In a PhD program, you advisor is more important than the school. If you don't know what is suitable for yourself, you might want to consider not doing a PhD.

First, stop comparing yourself with others - every person's situation is different. Second, get ANY job if it is really that bad and don't do a PhD without support.

So if you're a citizen, why are you so worried about not getting a job? You can get any job - just weather the bad times first.

I suggest that you forget about PhD for now and ramp up the job hunt. Are you an international student on F1 visa?

You applied to only one program? When are you graduating?

The founder is no longer at DE Shaw - he is now doing research in computational chemistry and high performance computing.

Try CVN - Columbia Video Network as a non-degree student. The courses are online. But it is not cheap.

All I'm saying is that you learn some things (math, financial models, etc.) in school, and other things outside of school (communicating and getting along with people, team work, understanding the business, planning, making deals, execution, etc.). There are things that are just difficult to...

Perhaps the right mindset to attending a FE program is to learn the principles and underpinnings of finance. Professors may not be doing the actual work but this doesn't mean their students end up building nothing in the industry. Sports coaches may not be players themselves but that doesn't...

Sounds pretty bad for an expensive and well-known program.

What PhD program are you thinking of? Physics, math? And what is Top 10 for you?

Peppy, I am not in the financial industry but I think you might want to read around to see what is actually needed to get into finance.

Andy, cgorac: thanks for your feedback.

Is there any demand in quantitative finance for people with Message Passing Interface (MPI) programming skills (in C/C++)? I don't see many postings on MPI.

Does the numerous job advertisements in various quant recruiting websites indicate that many quants don't really stick to a company for long? If so, why?

Just google, you'll find plenty of techniques.

all the best with your applications

Incidentally, your last post contains shorthands similar to your first post. Concerning your score, it is still a 3.5.

Why is your writing so low?

UI programming teaches one how to work with threads.

PhD programs here typically take about 4 or 5 years and you'll spend the first one or two years taking courses, similar to what you will do in a masters program. I don't think you'll save much time here. Isn't Mike Giles at Oxford doing stuff related to computational finance?

Maybe, but for learning purposes it should be fine. Correctness, not speed, is the most critical thing for the beginner. Moreover, it is free.

You can try the Matlab clone Octave, which is free. There may be a Mac version. Google.

Life is short. Buy a PC and install Linux or use Cygwin on Windows. I use Windows these days. Don't get bogged down by details too much - you are using the computer for some simple programming task not running a space shuttle or skynet.

3 years is a long time. Focus on what you are doing right now. Decide 1 year before you graduate.

I am not a quant dude but I can only say this: apply and you will know.

Hello. I'm a new quantnet.com member. I am an engineer and I may pursue a Phd in engineering next year. I haven't got to the point where I feel like I am going to do quantitative analyses for a living. At this point in time, I am mainly interested in the mathematics and computational methods in...

I'm new here and new to quant.

So have you made it into the quant world yet?