After working for 1 year as a quantitative trader at a leading stock-broking firm in India, I realize that it is time for me to go for a PHD degree in Mathematical/Quantitative Finance. Derivative pricing and algorithmic trading are the areas I am interested in. Could any of you review my profile and give me some suggestions on which schools I should apply for? Thanks a lot!
Bachelor in computer science from a university in India, GPA 3.6
Courses taken: C, C++, Java, DBMS, Calculus, Algebra, Probability, Statistics, etc.
1 year Diploma in Financial Planning from a university in India, GPA - 3.0
Courses taken: Fundamental & Technical analysis of stocks, Financial Statement Analysis, Quantitative techniques in Finance, Fundamental of Economics, etc.
Master in Mathematics from a university in India, GPA 3.5
Courses taken: Advanced Calculus, Advanced Algebra, Advanced Probability and Advanced Statistics.
I've numerous certifications from the National Stock Exchange of India in the field of Derivatives, Capital markets, Portfolio Management, Forex, etc.
No research experiences. No publications.
What I do at work: developing trading strategy, monitoring risk
GRE: V 165, Q 170, AWA 3.5
Recommendation Letter: I can get strong recommendation from a couple of professors. :)
Based on the info above, I guess I do not have a good shot at top universities like HBS, MIT, Wharton for PHD in Mathematical/Quantitative Finance as the competition is getting severe among applicants in this couple of years. How about NYU, Carnegie Mellon University, or Boston University? Any other schools good at Mathematical/Quantitative Finance?
Any of your advice would be greatly appreciated.