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Becoming Quant from Tulane MRisk?

zhoupuhan

Joined
3/5/10
Messages
4
Points
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Hi, I’m now a 3<SUP>rd</SUP> year in a Chinese university. We had a joint program with Tulane University and I’m going there for a Master in Financial Risk Management degree.
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I’m interested in quant finance, particularly stat arbitrage and algo trading, for years. Though both schools I would be attending aren’t very quantitative, I took courses in real and functional analysis, quant finance, game theory, C++, etc. and self-learnt things like Bayesian statistics, stochastic calculus, nonlinear time series, microstructure and Java. I am also doing research on statistical arbitrage and technical analysis borrowing ideas from multiple latest papers like Hogan, et al.(2004).
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The problem is, could I just go from Tulane to a quant research/trader job? Could I just prove myself with some working papers, or is a MFE/PHD necessary? The financial computing PhD offered by UCL seems decent but scholarship is only offered to EU students so it’s unaffordable to me.
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In an environment where so many jobs ask for “5+ years of quant research experience, expert in C++, Java, SQL, PhD of a hard science” it seems that even a decent MFE or PhD can hardly fulfill all requirements.

Thank you all for your help!
 
that's FRM cram class

If your goal is to become a quant, I think it's a little bit of waste of time and money to take the MRisk program at Tulane.

It only helps you to take the FRM exam.

You should aim at the real financial engineering program.
 
It's true that it doesn't really make sense to go there, but admission numbers for intl students oscilliate from year to year and information are so asymmetric that risk in the admission process is great. The average Chinese student spend an enormous time in the application process. I decide to enroll to minimize risk and to save time, but I agree it's really a dillema. Thanks for your advice.
 
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