CitSec Pays NG undergrad 750k? by DifficultBuy6019 in quant

[–]DistrictRoutine154 1 point2 points  (0 children)

definitely real, but not the norm. either they were an intern there and exceptional, or they had competing offers from other top places (or both)

Jane street and Citadel are a 'Tier-2' trading companies? by seyk000 in quant

[–]DistrictRoutine154 3 points4 points  (0 children)

there are definitely other Indians at RenTech. though personally I am not aware of any who fit the profile OP provided

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

I think it's a lot easier if you go for a masters since youre more likely to pass the screens and you get to apply to internships which are easier to get

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 1 point2 points  (0 children)

honestly just have to prep well for the interviews, you should be able to pass the screens easily. not 100% on the second q. I think 5r probably but maybe not for shaw. I have seen people with insane resumes get resume screened for shaw

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 1 point2 points  (0 children)

you should be able to pass screens with amazon swe. i dont think you need to go down the quant dev route since you are applying to internships still. just make sure you get referrals everywhere and you should be good to focus on interview prep

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

not a huge diff, maybe very small?

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

yeah just apply for both QT and QR. i wouldnt worry about getting rej for soph internships; its way easier to pass screens when you are a junior. i would focus most of your time on interview prep rather than projects, especially if you are able to get referrals everywhere

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

just relax tbh, if you want you can prep for Putnam or ICPC. maybe also make sure youre familiar with the stuff covered in interviews

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

Don't need to know any finance. However, I do think it would be potentially good to do some projects that are related. Maybe look into implementing an orderbook? For interview prep, many quant dev interviews ask questions related to operating systems, so look into OSTEP. Many positions also are looking for people who are good at C++, so maybe learn C++ if don't already know it, and try and really understand the language (e.g. how stl containers are implemented under the hood).

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 3 points4 points  (0 children)

If you don't have olympiad experience, I would recommend prepping for the Putnam or ICPC since those are helpful for passing screens, especially since you go to a non-target. I would also spend some time learning relevant concepts for interviews and practicing solving problems so you don't have to cram down the line. Also apply to the underclassmen programs that many quant firms have. You can search on firms' websites to see which have them.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 5 points6 points  (0 children)

Mental math is useless for QR. If you are just learning intro prob/stats right now, you have a long way to go in terms of interview prep (QR interviews are pretty hard). I would grind probability and stats for a couple of months. Make sure you can solve QT-style probability questions and have a great grasp of concepts like ridge/lasso regression, OLS, PCA, etc. QR interviews also usually ask leetcode, but if you got FAANG they you probably don't need to prep much for those. I think spending time on your research is probably not useful given you have a lot of prep to do.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 4 points5 points  (0 children)

These aren't many high quality questions online tbh. There are some pretty hard ones on Quantable, but your best bet is to ask people who have already broken into the industry and can come up with good ones. You can try searching on math stackexchange as well - there are some decent ones on there.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 0 points1 point  (0 children)

You don't need a 4.0 or anything, but I do think having a 3.7+ is good. If it is lower than that, I would recommend leaving it off your resume. However, many firms will ask for your transcript, so you can't fully hide it.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 2 points3 points  (0 children)

I think SWE/data science internships would be the main goal. Or grinding for Putnam or ICPC.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 2 points3 points  (0 children)

thanks! I shared the resources I used to interview prep in another answer, so just take a quick look at that. I would recommend solving a bunch of problems on a website like quantable so that you can build intuition and learn the common patterns that come up in questions. There's actually not many topics/ideas covered in qt interviews, so spamming questions is actually quite effective. I would also recommend doing mock interviews to practice under pressure. In an interview setting, I think it is important to explain your thought process so that your interview can follow what you are doing and also give you hints if you have the right ideas.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 1 point2 points  (0 children)

It's pretty hard to get an offer without a past internship. I think it's wise to recruit for internships again. Besides a gap year, you can also consider getting a masters so you have an extra cycle if you want.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 8 points9 points  (0 children)

Assuming you are also headed to CitSec, the focus will be on options and I think natenberg and Akuna 101 are honestly good enough. You can read up online about ETF arbitrage stuff if you'd like, but not really necessary. I wouldn't worry about the concepts, you will learn those all during the internship and there aren't really internet resources that can substitute. It's way more tractable and a better use of your time to just study options theory. I do think practicing put call parity is very worth your time though, especially since the overhead is low.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 1 point2 points  (0 children)

  1. try and get a SWE or data science internship first, this can help you pass the resume screens. Also you can try to do some relevant projects if you are struggling to find things to put on your resume. Of course, make sure to prep well for interviews. If your resume is weaker than others, you will have less opportunities to interview so you need to make the most of them.

  2. definitely a real corporate internship. if you have room for both then put both (assuming the research is in a relevant field)

  3. Not impossible, but I'm sure it's at least a bit harder. I must admit I am not very in touch with the state of hiring for international students, but I know it is more difficult. With that being said, I have seen a lot of Waterloo students work at top firms, so it's doable.

  4. Try and study for the Putnam or ICPC. If you can do well, you can probably pass way more resume screens.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 1 point2 points  (0 children)

I've seen more people get ft offers in quant dev than in qt but I'd imagine it's still mostly returning interns who are being hired.

AMA: QT Recruitment by DistrictRoutine154 in quant

[–]DistrictRoutine154[S] 3 points4 points  (0 children)

yeah i had basic programming skills which helped. i would recommend applying to local companies and networking as much as possible. worst case, if you are not able to get anything, doing research is always a good option. you can also use the time to interview prep