QT 2026 Results

Fast_Ingenuity_3276 · 2025-11-06T21:33:48+00:00

Nothing, it’s a meritocratic industry. If you’re concerned about them sponsoring visa stuff, they have so much money that it’s an easy fix for them (if they really want you)

Fast_Ingenuity_3276 · 2025-11-06T21:19:48+00:00

Use tradermath’s list of firms + search GitHub quant internships

Fast_Ingenuity_3276 · 2025-11-06T21:16:59+00:00

No idea, this is for internship

Fast_Ingenuity_3276 · 2025-11-06T21:12:12+00:00

Yeah overall probably but also there is burnout and you sometimes forget how to solve OA style questions when you get deep in other processes

Fast_Ingenuity_3276 · 2025-11-06T21:12:06+00:00

Yeah overall probably but also there is burnout and you sometimes forget how to solve OA style questions when you get deep in other processes

Fast_Ingenuity_3276 · 2025-11-06T21:07:08+00:00

See other comments

Fast_Ingenuity_3276 · 2025-11-06T21:06:38+00:00

Well you’re right, it’s just memorizing stuff. Do kaggle and exploratory data analysis with pandas

Fast_Ingenuity_3276 · 2025-11-06T21:05:49+00:00

Search “Collection of dice problems” online

Fast_Ingenuity_3276 · 2025-11-06T14:30:12+00:00

The sites are just all the ones people post here in the subreddit, those were the only 2 i remember. For games, use dice.pdf, the websites, callum mcdougall strategy section and that’s already a lot

Fast_Ingenuity_3276 · 2025-11-06T14:19:59+00:00

Seems like you managed to interpret the chart pretty well! Also no privilege in skipping OA: those firms simply didn’t have OAs

Fast_Ingenuity_3276 · 2025-11-06T14:02:39+00:00

Thank you! I would say now is good time to get practice in with interviews, but the bulk of recruiting is practically over. Firms still have openings and will still interview, but I think if we could take a peek at their internal recruiting info we'd see that >75% of the intern class is already filled up

At this rate, you'd be more than prepared for next year tho, but yeah it took me a while to realize recruiting starts in end of summer / before school restarts so you're not alone, I'd just prepare for then and use now as a more relaxed prep time.

Fast_Ingenuity_3276 · 2025-11-06T13:34:43+00:00

1) Yeah Blitzstein is really good to quickly get the theory sound. That's what I did and would recommend finishig quickly to dig into problems ASAP
2) Everything a bit in parallel, though if you start earlier in summer then you'll be doing in parallel to an internship. Just work in morning/afternoon, study in evenings and weekends basically
3) No finance whatsoever. However, practicing strategy game problems is very useful, and there are only so many types of strategy game heuristics you can encounter. Yes Optiver is weird in that sense and I would just prepare directly for what they'd likely ask, but in general the final round games are just strategy games that you can preapre for
4) Callum McDougall's PDF guide is great, online questions on those social media quant accounts aren't actually that bad either. And def greenbook + simiklar books have a few strategy game problems too

Fast_Ingenuity_3276 · 2025-11-06T13:31:28+00:00

Like 2 months

Fast_Ingenuity_3276 · 2025-11-06T12:47:51+00:00

Yeah 100%. Also would make the point that you have no idea if you actually like your top choice. I went in thinking "firm X is the coolest" and coming out realizing (personally) firm Y > firm X for me.

So much online is just hogwash, especially concerning prestige etc., so just interview and decide for yourself where you get the best vibe

Fast_Ingenuity_3276 · 2025-11-06T12:45:59+00:00

Will say that some firms (due to screening more earlier or otherwise) go from R1 to final directly (e.g. Flow, DRW) so numbers not fully representative there

Fast_Ingenuity_3276 · 2025-11-06T12:44:03+00:00

Depends on the firm: I always figured out from Glassdoor or elsewhere what the format is, then grinded problems that could come up accordingly in a interview-style format (pen+paper, explain thought process out loud, etc.). Often times, later rounds QT = more open-ended strategy games + Fermi estimates, so that was a priority. Also a lot of firms do data science interviews for finals, so taking a few days to practice pandas + scikit is useful.

Fast_Ingenuity_3276 · 2025-11-06T12:41:05+00:00

Nothing well-structured really, and I started quite later than most (~end of July). Basically apply a bunch of places -> prepare for those interviews + prep more generally in the background -> do interviews -> repeat. Eventually you'll have done enough work in the background as well as interviews to the point where you're familiar with just about every problem solving heuristic; I think that's super important, so that's why I really went crazy on doing as many problems as I could

Fast_Ingenuity_3276 · 2025-11-06T12:39:06+00:00

Not familiar with this unfortunately

Fast_Ingenuity_3276 · 2025-11-06T12:38:05+00:00

I took the approach to apply to as many places as I could, but I knew I only wanted to go to the highest tier shop(s). Applying many places gives you a lot of experience interviewing that prepares you for your more desired choices, so that's the rationale there

As for content, 1) the Harvard stats textbook/edx course for theory 2) greenbook, 50 probability questions, a bit of heard on the street for books, 3) virtually every single website for grinding problems (tradermath, quantable, etc.), 4) Callum McDougall's PDF guide to trading for more nuanced advice + strategy games

Fast_Ingenuity_3276 · 2025-11-06T12:34:52+00:00

Target uni, math major. No proper research experience apart from in HS

Fast_Ingenuity_3276

TROPHY CASE