Right now I'm enrolled in the 3. year of a Bsc in Finance programme but start to get the feeling that my quantitve interests aren't completely fulfilled by the programme.
I'm thinking about enrolling for a Msc in Financial Engineering/Quantitive Finance but am not quite sure in which way my academic background will prove problematic a) for further studies b) a job in the quant business.
to a)
Due to my courseload I couldn't really further my mathematical background as I had planned, meaning (coming from switzerland, i.e. we had calculus exposure in school) I'm limited to:
-2 semesters in analysis (having had exposure to fourier transformations, Itos Lemma and Kuhn Tucker)
-2 semesters in linear algebra
-1 Introduction to probability theory, we worked with this book:
http://www.amazon.de/Fundamental-Probability-Computational-Approach-Paolella/dp/0470025948
-1 course each in linear, non linear, stochastic and parametric optimization
- 1 course in Statistics, 1 in Econometrics and 2 small applied Econometrics courses at an introductory level
-average knowledge of c++ and Mat lab
Since my time is limited I try to fill the mathematical gaps and read as much as possible but I still have my doubts that it is enough to apply for a quant master.
So my question is: Is it even resonable to apply for such a grad programme (with regards to mathematics) with my finance background?
Any suggestions how I should utilize my remaining time (i.e. read any special books, brush up on certain topics)?
Furthermore I ask myself if it is even feasible to pursue a quant career with a finance and not a mathematical background which brings me to b).
I've heard from many people that when you didn't have at least a background (Bsc) in maths, physics, etc. you will have problems later on finding a job in the sector. Is this true or can I still make up with a Master and Phd in quant. Finance?
Aside from that: Given that I'm not proficient enough for a msc in quant finance, what are my chances with a Phd in regular finance when it comes to jobs involving computational finance or quant jobs in general? Am I out fromt the beginning or do I still have a chance in this sector? (when the finance phd covers quant. methods on a level like this one:http://www.phd-finance.unizh.ch/Courses/courses0708.html)
Thanks in advance
Edit: On a side note, what do you think about this program?
It even offers a conversion your for non math backgrounds
http://maths.york.ac.uk/www/MscfinStructure_full_time
http://maths.york.ac.uk/www/MscfinMscmathfin_ConvYear
Edit2: Or is starting over again with a Math BSc the best approach? I'm twenty right now, over here it is more or less common to start studying for the first time in this age.
Too late to become a quant? (long)
- diogenes
- Posts: 0
- Joined: Thu Jan 01, 2004 12:00 am
Too late to become a quant? (long)
While I am not an admission committee etc, it seems you would be fine for an MS program. I would not expect to have deep and original insight into the material, but that is not what an MS is about anyway.