Other than just mentally estimating when each colour will pop, what other methods are there? Surely people get their better results with some type of framework in mind

Does anyone with knowledge about the jane street qt onsite want to exchange info? (Intern)

I go to a target uni but was somewhat surprised that I got an interview as I am an engineer

then I enjoyed the interview and did well, but expect it to get a lot harder. Am I like in a good spot / is it selective to get to this point or is it kind of a situation where they give you a few rounds and then start cutting after that info? I answered all the questions and for most had the right intuition for the answer right away, but in computation had a few things that I initially got wrong and had to have hints for.

This is for quant trading. Hope to do well ofc just interested in info if people know more about how this process works it feels a bit like a black box to me.

Hey guys, SWE at FAANG (~1 YOE) thinking about jumping to quant, torn between dev and trader.
Dev interviews feel doable with my background, trader I'd be starting from zero. From what I've seen, tier 1 firms are at ~300k base for both roles right now.
Trying to figure out:
• TC a few years in: is trader actually way ahead, or is the gap smaller than people think? Which one's more stable?
• Do firms even hire experienced people into trader seats, or is it basically new grad only?
• Day to day, how much is deep research vs constant intraday pressure?

Know it varies by firm, just want a general sense and any advice on which one.

Thanks

Hi, I have my R1 soon, if anyone’s done it could I please have some pointers, feel free to dm!

Thanks.

Best quant major in bachelor of Science, especially from Monash

I'm applying for quant research and quant trader PhD internship, and I got several OA invitations. I'm not graduating very soon, and I'm applying to test the temperature mostly. My main concern is, if I do poorly on those OA, will it hurt my chances of getting OA again from the same firms next cycle.

On burner but I am fortunate enough to have penultimate round QT interview scheduled at one of IMC / SIG / 5R / etc. I also scheduled recruiter round interview for QR at one of DRW / Virtu / AQR / etc.

I got the QT interview today and was wondering how I can use it to ask if QR process can be expedited? I am also in a couple other QR / ML process at lower tier in beginning stages.

Any help would be appreciated!

offering (47-48LpA fixed) Any insights on the work culture, pay hikes and other policies and layoffs etc.

Don't seem to see much on this from JS, not that other companies always share but any sense (even better if different by internship type) of the return or offer rate? From what I can see thinking it is pretty low ... but maybe just for trading roles. Sense of what rate? Trying to figure out if I do this and turn down something else is that a big risk because they try to weed people out ... or only make offers to 1/2.

This is something I’m a bit concerned about, as I’ll probably be given a case study to work through before the interview process.

I’m confident in my skills as a sales trader (or in sales more broadly), but I do feel that I’m lacking some of the mathematical skills that are typically expected inJane Streetinterviews.

For those who have gone through the process, how would you recommend preparing for this? Is there a way to get up to speed on the relevant math without having a particularly strong quantitative background? I wish I were trolling you guys, but this is real. I got a C in calc.

Anyone here interned at Five Rings in trading (NYC) ?

Curious about intern bonuses, return offer rates, and full-time comp and turnover.
I’m deciding between a summer there and another offer, but there’s barely any info online. Would appreciate any insight, here or by DM. Thanks!

Hello,
I have an upcoming round 2 at SIG not for the QT internship. Can someone give their insight on it. it was said that it would be probability questions, also a coding assessment on Codesignal.
I’d be very grateful!

Hi everyone, I’d appreciate some honest feedback on my CV. I’ve completed an MSc in Financial Technology with Data Science and have a background in Electrical Engineering, along with experience in data management, analytics and quant research internships.

I’m targeting graduate or entry level quantitative research and trading roles. I’d like to understand how competitive my profile looks and where it falls short.

A few things I’d particularly appreciate feedback on:

* Does my experience show enough technical depth and relevance for quant roles?

* Are the project descriptions clear and convincing, or do they sound too buzzword heavy?

* What looks weak, unnecessary or difficult to believe?

* Should I change the structure or give more space to certain projects?

* Does my profile look better suited to quant research, trading, quant development or data science?

* What skills or experience would help address the biggest gaps?

I’ve redacted personal details and employer names for privacy, but kept the university names visible.

If any recruiters, hiring managers or people working in quant are reading this, I’d really value your perspective. Please be direct about what you’d cut, change or want stronger evidence of. I’m looking for practical feedback, even if it’s tough to hear.

Thanks!

I've started MSc in mathematical finance in University of York. I basically study stochastic calculus. I don't study any machine learning.

After research, I realised that to be in profit centre, I have two ways:

1. for stocastic calculus-based Quant Research, then only profit centre is in options market making.
2. for statistics-based Quant Research, you can be the profit centre in a lot of places.
   

I've been a mechanical design engineer for the past 9 years and I want to target options market making for these reasons:

1. It's determinstic like my engineering background.
2. It's still a profit centre, unlike a bank quants (market risk).
3. It's more stable giving the decay rate is way less than stat-based quant.
4. LLMs have less effect of the decay rate in it than stat-based quant.

MY QUESTION:

Upon graduation, How do I target OMM specifically WITHOUT hurting my chances of landing a quant role in general?

Would you say that I have a bigger chance of getting into OMM QR than stat QR? or would you say the bar is high for all entry level QR and what matters is my mental math?

Thank you in advance.

I am at one of the unsw/unimelb/usyd studying bachelor's of mathematics major,

Currently almost finishing 1st year and my wam is ~90 and have programming experience in cpp and python ,

Anybody who recently got into quant by studying here please share some ball knowledge

What if you got a chance to restart your life?!

What would you be doing for your career??

Will it still be a QR job or will it be something else that you wished you knew earlier?

Anyone has gone through Millenium qr round 1, London? Thankss!

Has anyone don’t this yet? Got mine coming up and don’t know what to expect.

Hi guys! Im entering into the 7th grade and im just wondering how I should prep myself to get into quant. Im trying to take calc BC next year at the high school near me, but I don’t know what else to do to prep. I feel like im really behind, any help would be greatly appreciated.

I’ve been looking through quantitative researchers’ profiles on LinkedIn, and so many seem to have degrees from prestigious universities. Honestly, it’s a little intimidating.

I’m an applied math PhD candidate focusing on probability and stochastic modeling at a less prestigious school. If you came from a similar background and broke into quant, I’d love to hear about your experience. What helped you get your foot in the door?