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Hi,
I was wondering, if my profile is sufficient for the Baruch MFE program and hopefully I can get some advice on how to improve my odds.
I’m currently in my last year of my undergraduate in mathematics, with a GPA around 3.4-3.6. I’m at the best maths program in my country (I guess it’s around top 20 in the world). I currently don’t have any working experience, besides a research internship in the mathematical finance department. I did the C++ course here on QuantNet and I’ve done some Deep Learning projects in python. I also competed in a few trading competitions ( rank 19 in the first round of the imc trading prosperity competition). My mathematics course work includes: analysis 1-3, linear algebra 1-2, graph theory, algebra 1(group/field theory), optimization, calculus based probability theory, markov chains, quantum computing and statistics. I also took a few masters courses such as: measure theoretic probability theory (martingale theory mostly), discrete time financial mathematics (option pricing, mean variance optimization), continuous time financial mathematics (stochastic analysis and options pricing using PDE, Monte Carlo and Fourier), quantitative risk management (coherent risk measures, extreme value theory and copulas), functional analysis ,Reinforcement learning and U-statistics.
I was wondering, if my profile is sufficient for the Baruch MFE program and hopefully I can get some advice on how to improve my odds.
I’m currently in my last year of my undergraduate in mathematics, with a GPA around 3.4-3.6. I’m at the best maths program in my country (I guess it’s around top 20 in the world). I currently don’t have any working experience, besides a research internship in the mathematical finance department. I did the C++ course here on QuantNet and I’ve done some Deep Learning projects in python. I also competed in a few trading competitions ( rank 19 in the first round of the imc trading prosperity competition). My mathematics course work includes: analysis 1-3, linear algebra 1-2, graph theory, algebra 1(group/field theory), optimization, calculus based probability theory, markov chains, quantum computing and statistics. I also took a few masters courses such as: measure theoretic probability theory (martingale theory mostly), discrete time financial mathematics (option pricing, mean variance optimization), continuous time financial mathematics (stochastic analysis and options pricing using PDE, Monte Carlo and Fourier), quantitative risk management (coherent risk measures, extreme value theory and copulas), functional analysis ,Reinforcement learning and U-statistics.
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