Hello everyone,
This is my first post, and I feel sorry that it is a post asking for advice instead of providing.
My situation:
I am an electrical engineer at the moment (27 years old). I got Phd from Materials Science and Engineering (University of Maryland), and now working in a semiconductor company (for less than 2 years). My Phd research involves physical modeling (Matlab), but more than half of the work was experimental work. My daily work now involves developing C/C++ based electrical test library, using Python and R to process data and generating modeling report. I am familiar with Monte-Carlo simulation and regression, and will refresh my knowledge on stochastic process and statistics. I passed CFA(I) last winter and will participate CFA(II) this June. I know this is probably not that useful for quantitative finance related job, but at least as a start of exposing me to basic finance concepts.
My question:
1. In order to switch to quantitative finance, is an MFE degree a must? I am not geographically near good programs, the most possible one would be Rensselaer Polytechnic Institute.
2. If I do not get a MFE degree, where should I focus on? Spending time with self-created projects, contributing to some open source libraries, or put more attention on deepening my understanding of the math required, or any other field that I am not mentioning here.
Thanks in advance for any suggestions, critiques, ideas and instructions.
This is my first post, and I feel sorry that it is a post asking for advice instead of providing.
My situation:
I am an electrical engineer at the moment (27 years old). I got Phd from Materials Science and Engineering (University of Maryland), and now working in a semiconductor company (for less than 2 years). My Phd research involves physical modeling (Matlab), but more than half of the work was experimental work. My daily work now involves developing C/C++ based electrical test library, using Python and R to process data and generating modeling report. I am familiar with Monte-Carlo simulation and regression, and will refresh my knowledge on stochastic process and statistics. I passed CFA(I) last winter and will participate CFA(II) this June. I know this is probably not that useful for quantitative finance related job, but at least as a start of exposing me to basic finance concepts.
My question:
1. In order to switch to quantitative finance, is an MFE degree a must? I am not geographically near good programs, the most possible one would be Rensselaer Polytechnic Institute.
2. If I do not get a MFE degree, where should I focus on? Spending time with self-created projects, contributing to some open source libraries, or put more attention on deepening my understanding of the math required, or any other field that I am not mentioning here.
Thanks in advance for any suggestions, critiques, ideas and instructions.