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Yes that will lead to a good career. Companies gobble up finance masters really fast and they make good money. But is that what you really want to do? It's really difficult.
Edit - in the states, a new grad in that field could command a 60,000-70,000 starting salary with an MSF degree from just an average school. Grads from top schools like Oxford could easily grab close to 100,000 a year. Right out of school.
Edited: 2012-11-09, 6:45 pm
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Ask yourself
1. Do you like the stock market?
2. Are you really good at math?
3. Are you really good at statistics?
4. Are you really good at building excel models?
5. Are you ok with doing years worth of continuing education throughout your career involving lots of tests to gain certain financial qualifications?
If the answer to any of those questions is no, do something else.
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The world needs more bright people working in areas that aren't finance in my opinion, but I guess it wouldn't be bad if that's what you want to do.
I guess being an actuary is somewhat respectable..
Edited: 2012-11-09, 10:23 pm
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Isn't it aimed at people who already have several years' work experience in the financial industry?
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My sister just went into auditing. High stress factor but pretty stable (and easier than what this sounds like) and really well paid. Don't even need a master's, though she got a bonus when she got her MA in auditing. Paid for her ACCA as well. The big 4 are hiring pretty much 100 fresh BA grads per year, though that's mostly since they know only 10-15 will stick around till the end of the year.
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The hype over this career started years back and now there is a glut of people trying to get into it (to the point of becoming a brain drain) with lots of schools having popped up to take advantage. I think aiming to become a fully fledged quantitative analyst without a PhD on just the back of a part time masters is somewhat unrealistic unless one graduated from a top math-heavy undergraduate program as well, so don't do it if you expect a $500k remuneration package - do it if you enjoy mathematics (probability, statistics, mathematical finance) and programming. You are going to get sick of this kind of work if you don't, and for a lot of positions, you have to ask yourself if you're okay with employing your intelligence to get rich off the back of society without providing much in the way of service in return.
Edited: 2012-11-11, 12:25 am
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Yeah, I'm familiar with Oxford university. Still, a part time (non-resident?) Masters from there is not an automatic ticket to becoming a millionaire. Median salaries in the profession are a lot closer to $100k than $500k and competition is high no matter where you graduated from.
Edited: 2012-11-11, 1:40 am
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2011 stats from the UC Berkeley MFE (Masters of Financial Engineering) program:
ALL - Average Bonus
Average First Year Total Compensation: $155,975
Median First Year Total Compensation: $144,000
Average First Year Base Salary: $101,125
Median First Year Base Salary: $100,000
Average Sign-in & Relocation: $22,876
Median Sign-in & Relocation: $5,000
Average First Year Guaranteed/Unguaranteed year-end bonuses, housing/transportation and other compensations: $50,606
Median First Year Guaranteed/Unguaranteed year-end bonuses, housing/transportation and other compensations:$36,700
That's only the first year salary. In a couple of years, you could easily get a 200K-400K quant job. Considering that the average first-year total compensation was $155K, I'm sure that means there were others who got way more than that coming out of the MFE program.
Not in your wildest dreams would you get a $50,000 first year bonus as a software developer (unless it's for a hedge fund or similar financial company).
Edited: 2012-11-11, 3:37 am
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I have a masters degree in mathematics from a top 10 university (not Oxbridge). While I preferred not to choose what area to specialize in until after I had already tasted all the options available, you can't go wrong specializing in finance if that is an area you are interested in and you want to make big bucks.
To be honest with a masters degree in any mathematical field you won't be short of money even in the economical crisis especially an Oxbridge degree. The typical jobs I have been entertaining are around £30,000 starting/training up to £50,000 while qualified rising to over 6 figures base salary after 10 years. This is of course not including bonuses which depending on the field can be anywhere from £10,000 to £1,000,000+ easily.
It looks like that particular course is for people that are already experienced in the finance sector and wish to further themselves to maybe get higher up the ladder, if this sounds like you then its definitely worth pursuing so long as you can deal with the extreme pressure and workload you will get.
Edit: Just to add I wasn't talking about quant jobs which pay considerably more, but tend to be extremely competitive and stressful. With jobs dependant on the stock market you have to balance out pressure vs quality of life. I know people that are involved in the stock market and they often work through the night, work at weekends etc..
Edited: 2012-11-11, 3:31 pm
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Can anyone tell me how much of these massive finance salaries essentially come from skimming the speculative component of the market? ie. basically being a professional gambler scooping up the value injected into the market by amateur investors?
These salaries seem way too high to be possible through actual growth generated by investment in sound aspects of the market alone.
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From what I understand about quant jobs is that the majority of the models are built in C++/Java. I used R on every statistics course I took and also used Matlab (shudders), but I'm not sure how widely these are used outside of academia. I certainly cannot picture them using excel to design any of their models, that would be horrifically bad.
It seems after doing a little research into quantitative analysis that the highest paid jobs revolve around machine learning research, i.e. developing robots to "intelligently" scan the market and make live decisions on where to invest in order to attempt to quantify the risk and optimize profits based on a finely tuned statistical model. Since the data is live and ongoing much of the research I expect goes into finding short cuts to reduce the time cost of solving the model, while still keeping the accuracy of the risk analysis as high as possible.
I don't know why they are paid so much, but since billions are invested annually by the companies that hire quants I expect it is cost effective for them to pay such high prices for even incremental increases in speed and quality of their market analysis models.
I'm talking a little out of my field of expertise, but this has greatly peaked my interest and will try to find out as much about quantitative analysis as possible.