Hi,
I would like to work as a quant/strategist. I am considering a MFE or master's in statistics or operations research? Can people evaluate my chances for top programs either this year or next (CMU, Berkeley, Columbia, etc.)?
How feasible would it be to move into a quant/research/trader role with a masters in Stats/OR as opposed to an MFE.
I attend a top 15 United States university with a major in Industrial Engineering and Operations Research and a minor in Computer Science.
Cumulative GPA: 3.45/4.0
OR GPA: 3.6/4.0
CS GPA: 3.95/4.0
not taken the GRE yet
Math/OR Courses:
Multivariable calculus, Linear algebra, ODE (2 classes), PDE, Numerical Analysis (2 classes), Optimization, Probability, Stochastic Processes, Statistics, Applied Linear/Nonlinear Regression, Discrete Math
CS Courses:
Object-Oriented Programming, Data Structures and Algorithms, Systems Programming, Artificial Intelligence, Computer Graphics, Computational Complexity
Programming Languages: MATLAB, C++, C, C#, R, Python
Finance Courses:
Intensive Corporate Finance at the graduate level, Financial Engineering (covers binomial model, stochastic calculus basics, Black-Scholes, the Greeks)
Internship experience in quantitative research at a top hedge fund working on portfolio construction models in MATLAB (mean-variance, momentum-based strategies) and at a bulge bracket investment bank in fixed income research, with a fair amount of quantitative modeling of the yield curve and interest rate derivatives.
I would like to work as a quant/strategist. I am considering a MFE or master's in statistics or operations research? Can people evaluate my chances for top programs either this year or next (CMU, Berkeley, Columbia, etc.)?
How feasible would it be to move into a quant/research/trader role with a masters in Stats/OR as opposed to an MFE.
I attend a top 15 United States university with a major in Industrial Engineering and Operations Research and a minor in Computer Science.
Cumulative GPA: 3.45/4.0
OR GPA: 3.6/4.0
CS GPA: 3.95/4.0
not taken the GRE yet
Math/OR Courses:
Multivariable calculus, Linear algebra, ODE (2 classes), PDE, Numerical Analysis (2 classes), Optimization, Probability, Stochastic Processes, Statistics, Applied Linear/Nonlinear Regression, Discrete Math
CS Courses:
Object-Oriented Programming, Data Structures and Algorithms, Systems Programming, Artificial Intelligence, Computer Graphics, Computational Complexity
Programming Languages: MATLAB, C++, C, C#, R, Python
Finance Courses:
Intensive Corporate Finance at the graduate level, Financial Engineering (covers binomial model, stochastic calculus basics, Black-Scholes, the Greeks)
Internship experience in quantitative research at a top hedge fund working on portfolio construction models in MATLAB (mean-variance, momentum-based strategies) and at a bulge bracket investment bank in fixed income research, with a fair amount of quantitative modeling of the yield curve and interest rate derivatives.