How realistic is quant research from an engineering physics background?
Hi all,
I’m currently an undergraduate double majoring in Engineering Physics and English Literature, with a minor in Applied Math. I’m planning to focus my remaining math coursework on areas like analysis, probability, and mathematical modeling (I’ve already taken linear algebra and related electives).
Over the past year I’ve become increasingly interested in quantitative research and more mathematical/data driven work. I enjoy linear algebra and probability quite a bit and would like to explore whether quant could be a good fit for me long term.
I have about 2.5 years left in undergrad and am hoping to graduate around a 3.5 GPA. My GPA started lower due to some health issues earlier in college, but I’ve improved significantly academically since then (4.0 this past semester).
Technical background:
- Some C++ (through data structures)
- Basic Python
- MATLAB
I’m planning to improve my Python skills and work on more quantitative/computational projects over the next couple years.
I’m not necessarily aiming for ultra elite firms like Jane Street/Citadel, and I care a lot about sustainability/work life balance. My ideal outcome would probably be working at a solid mid-sized quantitative firm in NYC (or potentially Tokyo eventually).
Given my background, does a path like this seem realistic? And what would you recommend I focus on over the next 2–3 years to become competitive for:
internships, quant research roles, or quantitative master’s programs?
Appreciate any advice.