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Message: <blockquote data-quote="Zhongruo Wang" data-source="post: 225871" data-attributes="member: 37285">Hi all,I am a 2nd year Phd candidate in applied mathematics (not top10 but top30 in math in United States ). My research concentrated on Optimization and machining learning (stochastic gradient descent and its related algorithms). I don't want to stay in academia and I want to get an internship of summer quantitative analysts in some investment banks(like Barclay) in the summer of my third year or fourth year.  If I can't get those internship chances, I will try to go into a MFE program after I get my Phd degree. I applied to several summer quantitative analyst program(like Wells Fargo, Capital One) last winter and they all rejected me in the first round. I think the reason for that is my school is not strong enough and I don't have a very strong finance background. I had a few experience in c++ in which implemented finite difference method for heat equations. And I had a lot of experience in Python and MatlabSo I think at this time I really need something to boost my cv when I submit to the internship program I want.  My questions here is will this two courses helpful for me to get a quantitative analyst internship in IB? (I think the answer is yes.) Do I need to take any other courses to boost my background?Thanks!</blockquote>