I am a Finance undergrad (Junior) at Rutgers University. I am planning on getting a MFE or a masters in a quantitative field. At the moment I work full time for AIG in New York City as an intern. I am currently learning the basics of C and C++ on my own and with the help of others.
Since I am a finance student I am wondering weather to double major or minor in math or computer science. I don't know exactly which would be more important at the moment. They both have their benefits, but I don't want to be an undergrad for 6 years. I am also thinking of just sticking to my major (finance) and taking many math/statistics courses, along with a few computer science related. If anybody has any advice, please don't be shy. I am a straight shooter so I want people to be honest with me and lay it out. I look forward to speaking with many of you.
Also, I'd like to wish everybody good luck in their careers.
Why do you want to get a second bachelor degree? Go for Masters program in Financial Engineering or in Applied Math for Finance. There plenty of programs in New York and Toronto as well.
I guess good GPA in University is one of the factors that make sure to access to the top university of pursuing financial engineering in the United States. I only worried about my poor GPA.:-ss
I am a new member at this forum and would like to wish everyone success in whatever their trying to achieve by becoming members of this forum.
I am looking for an opportunity to switch careers from Operations Research/ Optimization to finance. I have a PhD in Operations Research, BS & MS in Applied Mathematics, and BS & MS in Computer science all from top universities. I have been working for the past 4 years in Math programming for a very reputable company and prior to that I was a postdoc.
I have a level of mathematical maturity where I can quickly learn almost any kind of mathematical concepts. However, areas where I am currently focussed in my job are in discrete optimization techniques. I have in depth knowledge in probability theory (not the measure theoretic type) and some areas of stochastic processes such as Markov decision processes, algorithms, optimization (mostly linear but some level of non-linear as well), intermediate level of experience in statistics. I am well versed in C, Matlab, and SAS. I have done some self learning in finance by covering most of John Hull's book on derivatives and some other materials related on finance available online. This is pretty much my academic preparation in a nut shell. As for my age I am in my mid 30's.
I am seriously looking for some career guidance to help me prepare myself for an interesting career transition to finance. My main motivation for this move is because:
1. I am feeling a certain level of stagnation in my current job and
2. My deep interest in the working of the financial markets and my analytic bent of mind has attracted me to consider a quantitative finance position
3. I am sincerely hoping to lead a very interesting professional life in the finance industry
My drawbacks as I perceive it : I don't have experience working in the finance industry or having taken any formal training in financial mathematics. Everything I know in finance comes from self study and some seminars. My exposure to areas like PDE's, stochastic differential equations, stochastic calculus and advanced stochastic processes such as martingales are quite limited. As I mentioned before, I can learn these things on the job if it is required, but I have very limited exposure in these areas.
I would like help by getting to know where I might fir in the finance industry and in what capacity: junior quant or in a more senior capacity? I welcome any advice to help me get a better picture of quant job requirements.
Thanks very much to all of you. God Bless