- Joined
- 7/4/24
- Messages
- 9
- Points
- 3
Hello, I am an undergraduate from a no name university in U.S.. In particular my math background is very advanced for undergrad, it is around a ~3rd year PhD level (advanced pde theory (semigroup), advanced analysis at the level of Folland & functional analysis). I'm at the level where I'm almost ready to start reading papers and formulating my thesis/take comprehensive exams in my field of study. But I'm also dabbled in SWE internships, learning and deploying proper software practices and enjoying it. I have extensive experience in data science as well, having worked in industry and academia in data science/ML space. I have the option to go to a very prestigious bank for applied ML or big tech for data science.
Would anyone have a suggestion between the two behemoths? Opinions on pivoting to quant from big tech versus big bank?
I take into consideration the following:
Exit opportunities into the quant finance industry
Visibility within the org and without
Exit opportunities to PhD (math or ML)
I do not care about early career comp at all between the two options. In a perfect world, I could develop software products that integrate data science aspects and work on mathematical modeling for the markets, but this type of job may not exist in one role.
Would anyone have a suggestion between the two behemoths? Opinions on pivoting to quant from big tech versus big bank?
I take into consideration the following:
Exit opportunities into the quant finance industry
Visibility within the org and without
Exit opportunities to PhD (math or ML)
I do not care about early career comp at all between the two options. In a perfect world, I could develop software products that integrate data science aspects and work on mathematical modeling for the markets, but this type of job may not exist in one role.
