- Joined
- 3/28/10
- Messages
- 6
- Points
- 11
I have a few questions, but first some background information on my situation...
- Currently doing a Ph. D. in mathematics at a lesser known school. Finishing in a year, working in numerical linear algebra. Published and have spoken at several conferences.
- Good knowledge of numerical PDEs, some probability (perfect score on SOA Exam P, got an A in measure theoretic grad course)
- No relevant work experience to finance, though I have interned at a national lab
- Co-creator of an app on the app store and an inventory app sold and being used in industry
- Some C++ experience for research and coursework. Very experienced in MATLAB, proficient with Python, SQL, Excel
- Not much knowledge of statistics (one undergrad course) or data mining
My question is, with a decent amount of self-study, could I be a competitive candidate for a quantitative analyst position? If so, what areas should I target over the next few months to be as strong a candidate as possible (outside of a core knowledge of finance and Wall Street from the books of Wilmott, Hull, Joshi, Kuznetsov, etc.) given my background and the types of positions I'd be considered for?
If I would not be very competitive, are there other positions that I may be competitive for that would bode well for a quant career in the next few years (business/financial analyst or risk management, perhaps)? Or would it be better to apply to MFE programs?
Any advice is greatly appreciated, and I am happy to answer any questions. Many thanks in advance!
- Currently doing a Ph. D. in mathematics at a lesser known school. Finishing in a year, working in numerical linear algebra. Published and have spoken at several conferences.
- Good knowledge of numerical PDEs, some probability (perfect score on SOA Exam P, got an A in measure theoretic grad course)
- No relevant work experience to finance, though I have interned at a national lab
- Co-creator of an app on the app store and an inventory app sold and being used in industry
- Some C++ experience for research and coursework. Very experienced in MATLAB, proficient with Python, SQL, Excel
- Not much knowledge of statistics (one undergrad course) or data mining
My question is, with a decent amount of self-study, could I be a competitive candidate for a quantitative analyst position? If so, what areas should I target over the next few months to be as strong a candidate as possible (outside of a core knowledge of finance and Wall Street from the books of Wilmott, Hull, Joshi, Kuznetsov, etc.) given my background and the types of positions I'd be considered for?
If I would not be very competitive, are there other positions that I may be competitive for that would bode well for a quant career in the next few years (business/financial analyst or risk management, perhaps)? Or would it be better to apply to MFE programs?
Any advice is greatly appreciated, and I am happy to answer any questions. Many thanks in advance!
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