- Joined
- 6/9/24
- Messages
- 2
- Points
- 3
Hi all, just finished my junior year and want to apply for the fall 2025 MFE program. I'd like to see my chance of getting into top programs. All opinions, advice, and comments are appreciated.
Education: US top 15 undergrad (east coast)
Major: Mathematics, Economics, Statistics
Minor: Data Science, Law
GPA: 3.7+
GRE/GMAT: Haven't taken, aim at 330+/720+
Coursework (taken or plan to take):
- Math: Real & Complex Analysis; ODE; Linear Algebra; Multi Calc; Calc I & II; Abstract Algebra; Computational Algebra (about algeberic geometry and commutative algebra); Nonlinear Dynamics
- Stats: Theory of Statistics; Statistical Sampling Theory; Causal Inference; Statistical Computing (advanced R programming); Probability Models & Inference; Financial Mathematics in Actuarial Science; Biological Statistics; Categorical Data Analysis
- CS: Python Programming; Database Systems; Reinforcement Learning; Machine Learning & Data Mining
- Econ: Intermediate Micro/Macro; Econometrics, Game Theory, Decision Theory, Economics of Information Theory, Behavioral Economics
- Others: Futures, Options and Financial Derivative; Intro to Financial Engineering, Stochastic Calculus
Languages: Python, R, SQL, Stata, MATLAB
Experience: One Quant Risk summer internship at a bulge bracket level bank NY office (think WF/DB/Barclays); One QR internship at a small buy-side start-up; One Equity Research internship at a local REPE; One IB internship at a boutique investment bank
Research & Project: Two on-campus RAs with data analysis/mining and statistical inference and model training in python/R/Stata, No publications
One ML optimization project in python using K-means and KNN
Co-authored an R package
Other EC: TA for 2 years in advanced statistics and CS courses
Note: Have chance to early admit into my school's MFE program (quantnet top 10)
Concerns: GPA is not quite competitive; No C++ & Java experiences
Thanks!
.
Education: US top 15 undergrad (east coast)
Major: Mathematics, Economics, Statistics
Minor: Data Science, Law
GPA: 3.7+
GRE/GMAT: Haven't taken, aim at 330+/720+
Coursework (taken or plan to take):
- Math: Real & Complex Analysis; ODE; Linear Algebra; Multi Calc; Calc I & II; Abstract Algebra; Computational Algebra (about algeberic geometry and commutative algebra); Nonlinear Dynamics
- Stats: Theory of Statistics; Statistical Sampling Theory; Causal Inference; Statistical Computing (advanced R programming); Probability Models & Inference; Financial Mathematics in Actuarial Science; Biological Statistics; Categorical Data Analysis
- CS: Python Programming; Database Systems; Reinforcement Learning; Machine Learning & Data Mining
- Econ: Intermediate Micro/Macro; Econometrics, Game Theory, Decision Theory, Economics of Information Theory, Behavioral Economics
- Others: Futures, Options and Financial Derivative; Intro to Financial Engineering, Stochastic Calculus
Languages: Python, R, SQL, Stata, MATLAB
Experience: One Quant Risk summer internship at a bulge bracket level bank NY office (think WF/DB/Barclays); One QR internship at a small buy-side start-up; One Equity Research internship at a local REPE; One IB internship at a boutique investment bank
Research & Project: Two on-campus RAs with data analysis/mining and statistical inference and model training in python/R/Stata, No publications
One ML optimization project in python using K-means and KNN
Co-authored an R package
Other EC: TA for 2 years in advanced statistics and CS courses
Note: Have chance to early admit into my school's MFE program (quantnet top 10)
Concerns: GPA is not quite competitive; No C++ & Java experiences
Thanks!
.