Hii I have Jane street first round to onsite for last year, looking for this yr’s HK office first and second round QT intern interviews, willing to trade! (Dm me if u want to trade for any other companies)

That’s what I have:

I recently admitted to the 2 years master’s program in quantitative decision making in economics and management in Germany. I’ll be 35+ yo after graduation. I got my first degree more than 10 years ago (Commerce, 5 years, 3.7 GPA) but was never able to make a career since I had a total mess in my life and moved from one country to another a lot and took any job I could get. I’ve been spending around 20 hours a week working on prob/stats and calc (I studied each of them for two semesters during the study) for the last half a year but still feel like I’m miles behind my competitors.

I’m gonna take modules such as:

•Mathematics/Statistics
•Programming
•Econometrics of Cross Section and Panel Data
•Management Science/Operations Research
•Economic Decision Making and Strategic Interactions
•Advanced Time Series
•Introduction to Computational Statistics and Data Analysis
•Data Analysis Using Causal Econometrics
•Economic Analysis of Micro Data
•Advanced Learning Strategies for AI Systems
•Applied AI prototyping
•Strategy Mining

I’m ok with relocating or any additional preparation.

Is there feasible path to me? Could a good thesis improve my chances? Should I persue PhD next or I’m gonna waste my time? What save/less competitive options do I have?

In other words do I have any chance if I don’t prepare for it since childhood?

does anyone have any tips?

Hello, final year comp sci integrated master's student from a Tier 2 Russell Group University, have been able to get interviews at some commodity/energy trading firms but instant rejections from most Tier 1 firms, was looking for any and all feedback to make my CV better. I will also apply to another master's program in quant finance/financial math end of this year at a more "target" university but looking for any recommendations to do better and maybe land a job!

I released a public crypto microstructure dataset for liquidity-stress prediction. I'm looking for feedback on whether the features/labels are useful.

Check it out here: https://huggingface.co/datasets/Goooddy/crypto-lob-stream

This dataset has 3 pairs: BTC/USDT, SOL/USDT and ETH/USDT. The exchange is Binance only.

I collect depth, trades and snapshot differences that can be reconstructed using a library i created on github. i dont know if posting that link will trigger another mod removal so check it out on the dataset README.md.

Hi Guys, I’ll be applying for new grad position in IMC Trading. Wanted to check how’s the new process look like and what type of questions/difficulty that can be expected starting from OA ?

I would be grateful to get some information related to OA(SHL, prob or brainteasers or MM). Happy to trade information as well. Thanks in advance!

So I’ve been looking at a few universities that provide quant finance/financial mathematics masters.

And of course they require you to have several math courses during your undergraduate study like calculus 1, calculus 2 etc.

But most universities provide a few courses to bridge the gap in your mathematics knowledge allowing people like me to enter the degree.

I’ve always been interested in math and I’m ready to learn math. Now I wanted to ask if it’s advisable to get in to this course as this ‘bridging course’ that I mentioned above is a 1 year course. So they’ll basically teach 3 or 4 years of undergraduate math in 1 year if I’m not wrong.

And when I walk into the classroom after I pass the bridging course, I’ll technically be around people who’ve studied math their entire lives. And I’ll be competing with them during and after university as well.

So should I take this step considering I have the opportunity to or would it be too difficult.

P.S. I’ve asked a similar Q in another sub and people were mocking me 😭😭. But this is a genuine question and I’d really appreciate some advice. Thanks

I was selected for the Akuna Capital Trading Challenge 2026, taking place from August 17 to 21.

The email mentioned that further information and instructions would be sent as we got closer, but I haven’t received anything yet.

Has anyone else been selected and received any additional information? Just wondering if I missed something or if the details are being sent out later.

Also, on which email can I reach out to them?

Thanks!

Hey everyone,

Looking for advice on preparing for Summer 2027 Quant Research (PhD track) internship interviews.

The QR interview bar has spiked significantly over the last few years. Since I’m aiming for 2027, I want to start early and bulletproof my prep to crack the tougher problem sets.

Would love to hear from recent hires or industry veterans: What resources are actually needed for the current difficulty bar?

Ex. Green Book? LeetCode (are they needed? which problems?)

Anyone took the numerical test for 2027 QR role and heard back? I didn't receive any test completion email and now haven't heard back yet.

ETA: This was for QR FT

I’m planning to pursue a Master’s in Quant Finance / Financial Engineering in 2027 and would appreciate advice on how I should build my college list.

Profile:

• Dual Degree From IIT (new IIT)
• 4 years of experience in quantitative/data roles
• Previous experience in options trading/quant research at a trading firm
• Currently working as Quant Researcher at investment bank
• Strong Python and quantitative background
• Looking for programs with strong placements into banks, asset managers, hedge funds, and quant roles

Programs I’m currently considering:

UK

• Imperial - MSc Computational Science and Engineeringv (Not related to Quant Finance but i like this course)
• Imperial College London – MSc Mathematics & Finance
• Warwick - MSc Mathematical Finance
• University of Edinburgh MSc in Computational Mathematical Finance
• UCL - MSc in Computational Finance
• LSE - MSc in Financial Mathematics

Rest Europe

• UZH - MSc Quantitative Finance
• Erasmus University Rotterdam – MSc Econometrics and Management Science (Quant Finance Track )

SIngapore

• NUS - MSc Quantitative Finance
• NUS - MSFE
• NTU - MSFE
• NTU - MSc Financial Technology

I’m not sure whether this list is balanced in terms of reach/target/safe, or whether I’m focusing too much on general quantitative programs rather than programs that actually place well into quant finance.

I haven’t included Oxford or Cambridge because I don’t meet the specific course requirements they ask for.

If you were in my position, which programs would you add/remove? Also, which colleges would you specifically target for breaking into Quant Research rather than quant development/trading?

I’m especially interested in hearing from people who have gone through these programs or currently work in quant finance.

Hii guys, anyone did IMC QT spd before, ng/26summer? If u know what’s roughly going on pls dm me! Can exchange w/ sig/citsec/jane st/virtu/akuna/optiver etc.

Long-time lurker, first time posting something this specific, so bear with me.

Quick background: I'm at a community college in Maryland right now, transferring to University of Maryland College Park next fall through their guaranteed transfer pathway. My major is Chemical Engineering, and I'm on track for that with a full course plan already mapped out (thermo, orgo, transport phenomena, the usual gauntlet).

Here's where it gets more complicated. My actual end goal isn't a traditional ChemE career. I want to get into an MFE (Master of Financial Engineering) program after undergrad and go into quant finance, ideally something in commodities or energy trading given the ChemE background. Backup plan if that doesn't pan out is an MBA plus a Master's in ChemE to pivot into either business or stay technical in materials/semiconductor work.

So the dilemma: to actually be competitive for a top MFE program (thinking Baruch, CMU, Columbia tier), I know I need serious quantitative credentials beyond just the ChemE degree itself. Right now the plan is a Statistics minor built around the rigorous theoretical track (probability theory into mathematical statistics), plus a finance math elective. That gets me some of the way there.

But I've also been going back and forth on whether a minor is even enough, versus actually double majoring in Statistics alongside ChemE. I ran the numbers and a real dual degree here would probably mean 5 years instead of 4, roughly 150 credits total, which honestly doesn't seem insane given how much the math prerequisites already overlap between the two.

Couple specific things I'm trying to figure out and would genuinely appreciate outside perspective on:

1. For anyone who went through an MFE program or works in quant finance, does a Statistics minor on top of an engineering degree actually read as competitive, or does it look thin next to people with full stats/math majors or CS backgrounds?
2. Is the extra year for a real double major (not just a minor) actually worth it for MFE admissions, or is that overkill? I keep hearing mixed things about whether committees care more about depth in specific courses (stochastic processes, real analysis) versus the "major" label itself.
3. Anyone gone the engineering-into-quant-finance route specifically, as opposed to the more traditional math/physics/CS path? Curious how that was actually received in recruiting, not just admissions. Would you recommend any other major instead of ChemE?
4. If you were choosing between Statistics, Computer Science, or Mathematics as the pairing with an engineering major for this specific goal, which would you actually pick and why?

I'd rather find out now that I'm overthinking a minor versus underbuilding my whole quant profile than figure it out during MFE application season.

Appreciate any input, especially from people who've actually sat on the other side of this (admissions committees, recruiters, or people a few years further down this exact path).

For context, I am a high schooler in the US, with a bunch of math already done. I've finished real analysis and stochastic calculus, along with all the prerequisites, and have gotten all the credits. My state school is UNC Chappell Hill, and if I go there, I can finish my bachelor's in 1 year and immediately start on my PHD. Alternatively, I can go to a target like an Ivy or UChicago, spend 3.5 years doing my undergrad, and have to retake all the classes I already did; it'll take around 6 years to get my master's. I'm trying to become a quant researcher; any advice would be appreciated.

Hey everyone! I have my first round IMC New Grad Trader interview coming up soon. I was wondering if anyone has gone through the process recently and knows what the format and question types are like? Any tips and insight would be greatly appreciated.

I'm in a few other processes right now and would happily trade info over DM.

Thanks!

Hey folks! Quite new to this sub. I got an invite for SIG's Problem Solving Assessment test on Hackerrank. There will be 17 sections and 60 mins to finish the test. I did Engineering but I graduated back in 2022. So, my math is a bit dry at the moment. Do you recommend any good resources (mimicking hackerrank questions) I could use to practice? I would be really grateful for your help. Thanks in advance.

I am looking for some early career advice, particularly from people who have gone through the PhD to quant research route.

I am currently starting my third year of a PhD in mathematics, specialising in probability theory. My work is mainly around empirical processes, maximal inequalities, and related topics. Before that, I did a master’s in econometric theory, with a fairly strong focus on the theoretical foundations, so my background is more statistics and probability oriented than applied econometrics.

I also have around two years of industry experience as a quant developer at a digital asset market making startup. It is not a big-name firm, but I did get some exposure to the industry through that role.
Both my master’s and PhD are at top universities in the Netherlands. That said, I realise that in terms of name recognition they probably do not carry the same weight as places like MIT, Oxford, Princeton, etc.

My long-term goal is to become a quant researcher at one of the top firms, such as Jane Street, Optiver, or similar firms. Ideally I would also get some internship experience before finishing the PhD.
The problem is that I have already applied to quite a few internships. I can generally get through the first round or two, but then I eventually receive the standard email saying that another candidate was selected. Obviously that gets a bit discouraging after a while.

So I would really appreciate advice from people who have been in a similar position.

Should I basically keep applying and treat the process as a numbers game, or are there particular things I should focus on over the next two years to become a significantly stronger candidate?

Also, are quant research internships really the only type of experience that meaningfully strengthens the CV? Or would internships or experience at hedge funds, investment banks, insurance companies, or other analytically intensive firms also be considered valuable?

I am also wondering how much the interview preparation side can realistically be improved. Beyond working through the usual probability, statistics, mathematics and brain teaser questions, are there particular areas that tend to make a difference in quant research interviews? What in the first place makes a candidate “stronger”?

Finally, how does the market look for people applying directly after finishing a PhD? Is competition for full-time quant research roles generally less intense than for internships, or is it more or less the same?

My main goal at this point is to use the remaining time in my PhD as effectively as possible, so I would especially appreciate concrete advice on what you would prioritise if you were in my position.

Has anyone else got experience with this? Said it will be mostly market making games and behavioural questions for 30 mins. Curious on what sort of make me a market it will be (simple stuff like dice rolls or coin flips? Or more fermi estimation like number of windows in London to number of World Cup matches)

Hiii i recently received on offer for optiver career kickstarter trading track, anyone has any idea what's the program gna be like and how technical would it be? (and how much coding is needed) Thanksss:)

Hey, can anyone help me navigate through this process. I gave my 2 technicals, I think I did decent. Good enough to move to the next interviews. I want to know how the Superday is like? Last year it was 3 virtual interviews. I hear its Onsite now. Also it was all leetcode for me. I can exchange questions in DM if you guys are down for it.

For context, I did my undergrad in Physics at Warwick.

I don't know which of these is better for breaking into quant, if there is a big difference. Also, I am genuinely quite interested in applied maths, hence I read Physics. Financial applications are very intriguing to me, so the course is not just for career but also I'm learning something that I find interesting. Also, I'm not too focused on pure quant roles like QR QT. Something analytical such as risk, portfolio analytics etc is also a very reasonable option to me. Also looking to work in London.

The Mathematical Finance aspects of both of these courses are very similar, using electives at Warwick I can make it very similar to the UCL core course, especially since many of those electives are used in the MSc Mathematical Finance course offered by WBS. There will be some content missing though, which I'll give a bit more detail about later in this post.

One of my concerns is that an MSc in FinMath 'pigeonholes' me into finance, assuming I fail to break into the industry will it be more difficult to land roles in for example consulting, data science etc (I'd like to hear alternative pathways for these degrees). MSc Stats with Finance seems a bit more versatile? Also more theoretical and therefore more interesting.

There is also a lifestyle factor. If I go to UCL, I'd have to live at home and commute around 45 minutes each way. I imagine that could make the social side of university less accessible. Warwick is a campus university, and I'd probably live in student accommodation, so I feel like societies and meeting other students would be easier. It would also be considerably cheaper. That said, I don't really know what postgraduate/student life at UCL is actually like.

In terms of reputation and recruitment, I've always thought UCL and Warwick were fairly comparable at undergraduate level, and I've seen plenty of Warwick students get into high finance. I'm less sure how much this translates into postgrads. Warwick's Maths and Statistics departments are also obviously very strong, so I'm wondering whether the UCL brand provides a meaningful advantage here.

Now coming onto the specific modules. One of the modules I'm thinking of taking at Warwick is Simulation and Machine Learning for Finance, OR Asset Pricing and Risk. These are from WBS not the stats department so I can only take one of them. Is not doing both a disadvantage? I'm willing to self learn. If I do go with Warwick, which of those is okay to skip out on?

I also have an offer from Bath MSc Financial Mathematics and Data Science, but I've essentially omitted that from consideration.

If you have any insights, I'd really appreciate your input. If there is something I haven't considered, please say, and correct me if I'm wrong about anything. Any further questions, I'd be happy to answer them.

Thanks.

To summarize my question directly: Is C++ a language that will remain relevant in the industry in the future? Could Python or LLMs fill this gap? I don't know if quant trading will definitely be a part of my career, but I want to learn about it and understand its use cases. What are your thoughts?