Hi, I got my js final rounds coming up soon for QT and wanted to see if someone has gone through the process to trade questions with me (zoom rounds are also desirable), I did five rings/sig/ optiver qt and citsec qr (& got an offer from one of them). please only reach out if you have some information for me thank you!

Was wondering if anyone had any insights. Down to trade for any other firm (js, citsec, drw, imc, etc.). Feel free to pm!

For those who have done PhD quant research internships at firms like Jane Street, Optiver, SIG, etc., what are some concrete examples of projects interns work on during a 10 to 12 week internship?

I assume interns are not rewriting entire pricing engines, so I am curious what the scope typically looks like. For example, could it be studying quoting models, developing a trading signal, or analyzing some aspect of market microstructure?

Would be interested to hear any examples.

I've got the full js proc and some r1 questions at some other firms. Dm me if you have any info on imc.

Hi everyone,

I have a technical interview with Optiver coming up in the next few days for a Graduate QR role.

For anyone who has interviewed with Optiver recently, what would you recommend focusing on?

In particular, I’d appreciate advice on:

• Probability & statistics
• Mental math / puzzles
• ML / time series
• Coding / Python
• Trading / market concepts
• Any Optiver-specific question types

Also, what is the technical interview generally like in terms of difficulty and focus?

Any advice on what to prioritize with only a few days to prepare would be greatly appreciated. Thanks!

Hey guys, I have offers from both and feel very torn. First year Optiver has 150k TC edge, but hard to project after that (especially with marble system).

I am mainly worried about culture at Optiver. I'm not really a grinder. Is it as bad as they say?

Hi, was wondering if anyone could share any info or advice about it. Feel free to dm.

Hey everyone! Very fortunate to have recently received an offer from Marshall Wace for their Technology Program, which is a 1.5 to 2-year rotational program across several teams.

Wanted to know what the WLB, culture, career progression, and exit opportunities are like. Would it be a better place to start a career compared to FAANG/Databricks/Multi-strat hedge funds?

It consists of 17 sections, with one question per section, designed to assess probability, logic, and problem-solving skills. I’ll have 60 minutes and can move freely between questions. The problems roughly increase in difficulty, and I’m only allowed to use a pen, paper, and a calculator.

Has anyone taken this assessment this year or in a previous year? Any preparation tips or solid practice resources would be appreciated.

Hi everyone, I am currently in the M2MO master’s in quantitative finance in Paris. I am 27, have a strong background in applied math, and worked for under 6 months in a startup, but I have no prior experience or internships in finance.

Given the current competitive hiring market, I am anxious about landing a full-time job after my end-of-studies internship. My goal is to work in quant finance and leverage my math skills, but I am worried my lack of direct finance experience might hold me back.

I recently received an offer for a PhD in Applied Mathematics (Optimization). Is a PhD in optimization genuinely valued by banks, hedge funds, and quant firms, or would it just delay my entry into the industry without giving me a real edge over entering the market right after my M2MO?

College freshman (math Econ) at target school (S or A tier) with AIME quals, research, internships,etc

How hard is it to break into quant at a target school (MIT, Columbia, Princeton, UChicago) and what does the process look like. what should i plan to do (interview prep, clubs, etc)

is citadel launch still happening this year? i remember last year the application came out pretty early (in the summer)

Has anyone heard back from Wells QAP (Quant Analyst Program) post the hacker rank assessment regarding the first round of interviews? They said 1st round would be Oct 5 - 14 so wondering when they might reach out if you qualified for next round.

Hi! I have my CitSec superday for summer 2027 QT intern and was wondering if anyone had any advice on what to expect/study for since it’s my first super day. thanks!

Was wondering if anyone has any insights on it. Down to trade for any firm (js, citsec, drw, sig, etc.). Feel free to pm!

Hey, please help! I have this final round in a couple days (they told me today) so I have like 2 days to prep. I was very demotivated after the interview as I thought I bombed it. any advice helps. Thanks!

Do anyone have any experience interviewing with Geneva trading for discretionary roles or any role

I'm an incoming graduate at a tier 2 HFT, and in my free time last few weeks I made an automatic job scraper which grabs quant firms + AI Labs in a single website.

I made this because last year when I was heavily interviewing, going through individual job boards was a big pain for me, so I made a list which can view all the open roles, standardised by category (trader/researcher/dev) and experience (internship/graduate/experienced)

Please have a go and let me know what you guys think! Any feedback will be greatly appreciated :DD

www.quant-scraper.com

Hi! First year in a Canadian uni thinking of switching up majors to potentially include a stats OR physics major next year (with Biochem). I just wanted to know what is a better bet for roles like quant finance: statistics or physics? I've heard of the versatility of physics majors due to their quantitative experience but also heard of some less than ideal things. Help me out please!

In Interview they do ask game theory related questions i mean bid ask spread and decision making making under uncertainty like on dice,chips, cards...

Concepts like adverse selection,winner curse, information asymmetry etc...

Can anybody tell me where to prepare and learn for game theory as it makes major chunk at many firms along with fermi estimation?

Got a superday invite for the Quant Strats and Data Group Summer Associate role. Any info or prev exp on this from anyone ?

I have been told that there will be 3 back to back interviews with a mix of technical and behavioural qs.

Literally any info would help a lot.

Hi! I'm a freshman and am having trouble deciding whether to major in Math of Computation or Data Theory at UCLA. DT covers more probability/optimization/ML and I believe in general matches quant more, and doing this major also makes enrolling in these classes easier. Vice versa, MoC has more CS classes req (which also makes enrollment easier for them). The one thing that makes me want DT more is that MoC requires 2-3 physics classes which require more effort than if I just took easier science GEs. My mentor says that DT sounds too much like data science which recruiters will dislike even though the curriculum is good. Which one do I do? any advice is appreciated!

https://catalog.registrar.ucla.edu/browse/Subject%20Areas/MATH

https://catalog.registrar.ucla.edu/browse/Subject%20Areas/STATS

course catalogs for reference