- Joined
- 1/21/23
- Messages
- 39
- Points
- 118
Hi all, been watching this forum for a while, but am just now posting since I am looking to apply to MFE programs this upcoming cycle. I am looking for some advice on how competitive my application is for top programs, to better set my expectations. Thanks in advance!
Background:
American
T25 US University - Mathematics Undergrad - ~3.6 GPA - Class of 2022
Currently working at a very prominent financial services company, doing data analytics-type work. Will have around 2 years of work experience by MFE enrollment.
GRE - Q166 V155 (First Attempt) -> Will be retaking to try for Q168+
Somewhat Relevant Courses taken:
Calc 1 - A
Calc 2 - A
Calc 3 - B+
Differential Equations - B+
Advanced course in Differential Equations - A-
Probability - A-
Introductory Programming in Python - A-
Data Science (Statistics course, taught using R) - A
Linear Algebra - B
Real Analysis - C+ (The one bad grade on my transcript)
Optimization with Applications in Machine Learning - B+
Textual Analysis in R - A
- A few other advanced mathematics courses but not necessarily relevant (ex. number theory, non-euclidean geometry)
- Proficient in Python and R
Target Schools:
Berkeley MFE
Columbia MFE
Cornell MFE
NYU MFE
UCLA MFE
UChicago
Georgia Tech
NC State
Rutgers
Advise Areas:
1. Am I being too ambitious to apply to the above programs? Do I realistically have a shot at any of them?
2. I do not currently have any coursework projects on my resume in the quant finance sector, are these common on competitive applicants' applications? And if so, how should I go about choosing a project to highlight my skills?
3. Being out of school for about 1.5 years, I am not as sharp on my advanced math as I once was. Are there good resources to use to study for MFE interviews? and what type of questions are asked in them?
Background:
American
T25 US University - Mathematics Undergrad - ~3.6 GPA - Class of 2022
Currently working at a very prominent financial services company, doing data analytics-type work. Will have around 2 years of work experience by MFE enrollment.
GRE - Q166 V155 (First Attempt) -> Will be retaking to try for Q168+
Somewhat Relevant Courses taken:
Calc 1 - A
Calc 2 - A
Calc 3 - B+
Differential Equations - B+
Advanced course in Differential Equations - A-
Probability - A-
Introductory Programming in Python - A-
Data Science (Statistics course, taught using R) - A
Linear Algebra - B
Real Analysis - C+ (The one bad grade on my transcript)
Optimization with Applications in Machine Learning - B+
Textual Analysis in R - A
- A few other advanced mathematics courses but not necessarily relevant (ex. number theory, non-euclidean geometry)
- Proficient in Python and R
Target Schools:
Berkeley MFE
Columbia MFE
Cornell MFE
NYU MFE
UCLA MFE
UChicago
Georgia Tech
NC State
Rutgers
Advise Areas:
1. Am I being too ambitious to apply to the above programs? Do I realistically have a shot at any of them?
2. I do not currently have any coursework projects on my resume in the quant finance sector, are these common on competitive applicants' applications? And if so, how should I go about choosing a project to highlight my skills?
3. Being out of school for about 1.5 years, I am not as sharp on my advanced math as I once was. Are there good resources to use to study for MFE interviews? and what type of questions are asked in them?