- Joined
- 11/24/24
- Messages
- 4
- Points
- 3
Hey everyone, first of all, best of luck to everyone applying for fall 26 programs! Its been a few months since I initially posted and wanted to see if I have a realistic chance and if any of you have pointers for me. Let's get started!
Background:
Other:
Targeting:
I'm aware that I have a severe lack of industry experience so I'm hoping to apply to schools that emphasize academic experience as opposed to industry. Are these schools a good choice for this? Any advice is greatly appreciated! Thanks everyone
Background:
- Non-taget school (~100 top US) triple major in Applied Math, Computer Science, and Economics
- 3.96/4 GPA
- Published first author paper in resource economics
- Continued economics research with econ prof
- Machine learning research, developed open source software packages in R working with math prof
- Began small fund specializing in quantitative tax-lien auction strategies (done in R and Python) working with comp sci prof. In the process of raising ~$500k for the fund.
Coursework:- Around 150 CH total completed so far, graduating with around 200
- MATH: Calc III, Probability, Diff Eq, Lin Alg, Financial Math Derivatives, much more before graduation
- COMP: Pretty much everything you can imagine except explicit machine learning courses
- Programming Languages: Python (plus SciKit, Pandas, NumPy, etc.), R, C, Java, Stata
- ECON: Same thing, emphasis on resource economics but taken econometrics and other quantitative courses
- UChicago Quantitative Portfolio Mgmt and Algo Trading (Summer 25)
Other:
- No GRE
- Letters of rec coming from profs I worked with (should I try and get one from somewhere else as well?)
Targeting:
- TARGET: UChi MSFM
- NYU Tandon MFE
- Princeton MFin
- MIT MFin
- Berkeley MFE
- + Other safeties
I'm aware that I have a severe lack of industry experience so I'm hoping to apply to schools that emphasize academic experience as opposed to industry. Are these schools a good choice for this? Any advice is greatly appreciated! Thanks everyone
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