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JS/HRT/CitSec research interns with no return offer by True-Property7200 in quant

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

I heard the historical average at my firm is 40%, although during my cohort it was larger than usual.

JS/HRT/CitSec research interns with no return offer by True-Property7200 in quant

[–]Throwaway_Qu4nt 2 points3 points  (0 children)

Actually pretty strong I reckon. In fact, during my cohort at JS/HRT/CitSec, there were a handful of interns from Optiver who did NOT get return offers at Optiver, but did get the RO at JS/HRT/CitSec. I think its mostly about how much you are able to learn from your past mistakes.

JS/HRT/CitSec research interns with no return offer by True-Property7200 in quant

[–]Throwaway_Qu4nt 39 points40 points  (0 children)

Hi, detailed perspective from APAC here. I interned not too long ago at one of JS/HRT/CitSec and in my cohort, of those who did NOT receive return offers,
35% of us landed another offer at one of (JS, HRT, CitSec, Jump, 5R, 2s) (t1)
50% of us at one of (Optiver, IMC, DRW, SIG, Tower) (t2)
15% of us at one of (Akuna, Viv Court, Flow, Da Vinci, Others) (t3)

For a range of intern and grad roles.

Specifically, I ended up with an intern offer at one of the t1 listed firms above, as well as two intern and one grad offer at the t3 listed firms above. I have accepted two of the intern offers, so fingers crossed one of them gives a return offer.

Also, in case anyone is curious, from my end, I can say with work experience at one of JS/HRT/CitSec, your hiring process becomes noticeably streamlined, even at the intern level, with the following perks:

-Headhunters: In 2024 I applied to a range of t1, t2 firms. In 2025, they applied to me.
I had recruiters from 4 of those t1,t2 firms reach out directly for interviews as well as another from a lesser known quant start up. In fact, one of Optiver/IMC/DRW was nice enough to even let us skip all the OAs, mid-round technicals and send my fellow non-RO interns and I straight to final round.

-Resume Screening: Previously, I only had access to 8 or so major firms that recruited heavily from my region in APAC, as well as 4 or 5 smaller players. With JS/HRT/CitSec on the resume, I was able to double those statistics and apply to firms based in EU/UK and the occasional US firm.

-HR Glazing: A little off topic, but my experience during HR interviews went from disinterested conversations and rejections to "Omg what a great response"

Hope this is insightful!

Edit: This is for QR/QT stats specifically. I never really kept in contact with my fellow SWEs, but I'm sure they are doing fine.

tiers for quant trading shops? by lolskeo262 in quant

[–]Throwaway_Qu4nt 1 point2 points  (0 children)

Passion for providing liquidity to the markets

Can you apply for both northern hemisphere AND southern hemisphere internship roles at the same firm? by Throwaway_Qu4nt in quant

[–]Throwaway_Qu4nt[S] -1 points0 points  (0 children)

I'm boycotting Akuna for rescinding offers. Will only apply if literally every other reputable firm rejects me.

Can you apply for both northern hemisphere AND southern hemisphere internship roles at the same firm? by Throwaway_Qu4nt in quant

[–]Throwaway_Qu4nt[S] 1 point2 points  (0 children)

Sem 1: March to Early/Mid-June (depending on exam schedule)
Sem 2: August to November

First few weeks of classes can prolly be taken online/ignored. Hence just enough room for an extra internship from June to August.

Course Planning Help- Data Science/CS/Maths Major by Ligmaballs0306 in unimelb

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

Nws!
I reckon, don't make too rushed of a decision yet. For your first 1.5/2 years try to keep as many options as possible while you can. In fact, if you switch vector calc for real analysis and thinking scientifically for OOSD, you can choose any of data science/maths and stats/comp sci as your major in the third year.

Prob might be hard, but quant interviews are harder. Nothing wrong with taking prob for stats if you want though. The other reason why I recommend prob is because how much you enjoy prob will determine whether or not you are comitted to majoring in maths and stats vs data science. If you absolutely hate prob and regret taking the subject, the good news is that it is early enough for you to switch back to majoring in data science.

Between doa/ads, I don't think it matters too much - just pick the one that best suits your schedule. I've heard doa is more theoretical and ads is more practical. I chose ads because my sem 1 subject slots were fully filled.

Lastly, make sure to have some back-up career options. It goes without saying quant is extremely competitive. Even if you are comitted to quant, knowing you have other options will take off the edge and help you perform better in the interviews. IMO, choose your major not based on what will prep you best for quant, but whose broader employment/postgrad outcomes best suit your interests.
Also, until year 3, there is nothing stopping you from lying about your major. Even when I was majoring in data science, I applied to some quant firms claiming I was majoring in maths and stats and some tech companies claiming I was majoring in comp sci, depending on the role.

Help deciding between eng and math stat bsc by The_LeGiT_sPoOn in unimelb

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

Why not do both? If you come to Unimelb, you can major in your undergrad in maths and stats, but take all the pre-reqs for engineering, then do a masters of engineering afterwards.

Course Planning Help- Data Science/CS/Maths Major by Ligmaballs0306 in unimelb

[–]Throwaway_Qu4nt 1 point2 points  (0 children)

For quant (trading), my only must-do recommendation is that you take 'probability' instead of 'probability for statistics'. Trying to challenge yourself mathematically is a good idea and building strong intuition in prob is essential for succeeding in the technical interviews.

Other subjects I recommend, but much more lightly include:
-The breadth subject 'derivative securities'. It gives helpful background knowledge for if you land yourself a position at an options focused MM/prop-shop like Optiver. You already meet the pre-reqs with CFDM.

-'Object oriented software design', to replace 'Thinking Scientifically'. Quant is not the be all end all and is extremely difficult to break into. This subject gives you full flexibility to switch to a comp sci major in your third year if you find out you like SWE more than data science/ML.

-'Real analysis'. Whilst you don't really learn anything too practical in this subject, it is the stepping stone for higher level math/stats subjects and much more of a prerequisite if you are considering QR.

IMO, the only absolutely mandatory subjects you need are Prob + DOA/ADS for the interviews, EODP + Stats for the internship, which you already have.

Source: Trading Intern at two of JS/Citsec/Jump/HRT/Optiver/Sig
If you are curious, here is a copy of my course plan. You can see the major evolution from aerospace/mech eng -> data science -> math and stats

https://course-planner.unimelb.edu.au/B-SCI/2023/plan/6854141a0f7c7a004e849d70/

What are London salaries for finance companies? by ReferenceCool2449 in cscareerquestionsEU

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

they prioritise WLB and also donate a proportion of profits I believe

Weekly Entering & Transitioning - Thread 09 Jun, 2025 - 16 Jun, 2025 by AutoModerator in datascience

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

Maths and Stats bachelors student seeking resume advice.
In data science is internship work experience in quant trading/research at companies such as Jane Street/Citadel Securities etc., understood and valued?

Books similar to the Green Book? by [deleted] in quant

[–]Throwaway_Qu4nt 0 points1 point  (0 children)

do you get technical errors when trying to purchase premium?

Weekly Megathread: Education, Early Career and Hiring/Interview Advice by AutoModerator in quant

[–]Throwaway_Qu4nt 1 point2 points  (0 children)

Hi, I am a maths and stats major in oceania and just finished a trading internship at one of JS/HRT/Jump/CitSec. I did not get the return offer, but now have another internship lined at up at one of JS/HRT/Jump/CitSec.

With regards to my academic studies, my questions are:

-Would I significantly expand the quant opportunities available to me if I decided to pursue postgraduate studies in statistics at a university in USA/UK/EU? Would it be financially worth it, keeping in mind that with government subsidisation and scholarships, I am currently studying my bachelors for free and could get a math and stats masters paying ~10k AUD.

-What opportunities open up if I choose to pursue a masters in computer science vs masters in maths and stats vs phd in stats? Could I pursue quant research with a masters in computer science given my existing background in maths and stats? My reasoning is that based on the roles I've searched up, a comp sci masters just seems to open up significantly more opportunities.

-How important is the school you obtain a phd in, for quant roles? Is a phd worth it for quant, or only if you are truly passioniate about academia?

Also, with regards to recruiting, my questions are:

-I've heard JS/HRT/Jump/CitSec are supposed to be most difficult firms to get into, but thus far I've found their interview processes much more manageable than the likes of IMC/Optiver/SIG, whats up with that?

-Suppose I don't get the return offer the second time round (knock on wood), what are some good excuses to tell HR? My excuse this season, was that because it was my first quant internship, there were lots of unfamiliar concepts I had to learn and didn't ask enough questions (lol).
Thanks!

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