- Joined
- 7/14/25
- Messages
- 1
- Points
- 1
I'm a rising ug senior at an Ivy League school doing math and cs(3.7 gpa).
Planned to apply to grad school initially but realized I didn't like pure math research after reu last summer + funding cuts.
I've done a good amount of analysis/algebra/probability(maybe not the probability quant interviewers want) and also took some classes in ml and algorithms although not much for statistics.
Programming skills are fairly average and only know java and python from classes and some research projects(nothing super complex, just some modeling).
Doing a data science internship this summer but wanted to prepare for quant interviews in the fall.
I've been reading Crack's heard on the street and the green book.
Also have taken the Putnam and gotten top 500.
Do I have a competitive application even though I haven't done any internships in quant and I don't know any C++? I'm not sure if I'm using the right resources to study and if it's even worth all of this time or should I try later and just apply for a masters?
Planned to apply to grad school initially but realized I didn't like pure math research after reu last summer + funding cuts.
I've done a good amount of analysis/algebra/probability(maybe not the probability quant interviewers want) and also took some classes in ml and algorithms although not much for statistics.
Programming skills are fairly average and only know java and python from classes and some research projects(nothing super complex, just some modeling).
Doing a data science internship this summer but wanted to prepare for quant interviews in the fall.
I've been reading Crack's heard on the street and the green book.
Also have taken the Putnam and gotten top 500.
Do I have a competitive application even though I haven't done any internships in quant and I don't know any C++? I'm not sure if I'm using the right resources to study and if it's even worth all of this time or should I try later and just apply for a masters?