Hi,

Can you tell me friend of mine has decided to prepare for quant trader interview specific he said it is viable to prepare for quant trader rather than researcher, developer as they require degree,skill which is totally different and require lot of time to acquire it..

he said most of the firms segregate based on their undergrad for QT,as most of them are from maths,CS background or similar STEM degree..

say someone with history, philosophy,Arts background or something similar like that you could break into quant trading role or not?

I am saying in all firms but firms like 'Jane Street ' where they actually read resume manually rather than automated...

I came to know about these field from my friend..so yeah please let me know..

What does a typical QT interview resume look like? Like what is on it usually and not any crazy awards like a normal person QT(prob none lol but ykwim). Just want to know what a resume that passes screening looks like. And then once you pass the screening, how should you prep?

Gonna graduate early this spring but did get an offer at Citadel for this summer. So is there anything I can do besides delaying graduation or going for a masters?

This is a new backup account for anonymity, I've frequented this sub for about a year.

I'm applying within the next 2 weeks everywhere for QT/QR for next summer (junior into senior summer internship).

My thoughts:

I'm aware that my freshman internship was kind of lame but nothing I can do about it now. I only have 1 project, I don't know if I should expand to 2 or 3.

Please let me know your thoughts on these and everything in general. I've been doing interview prep but just hoping this resume is good enough to get past resume screening.

Hey everyone, I'm about to start my 3rd year of computer science and I've been thinking a lot about what direction to take.

A bit about my background: I genuinely enjoy the math side of my degree, especially after taking a statistics course, and I'm broadly interested in finance, stocks, and how markets work in general. Because of that, a career in quant finance seems like a natural fit.

That said, I'm also genuinely interested in cybersecurity — I follow privacy/security news, breaches, and attack techniques pretty regularly, and there's a chance I'll land an internship in the industry. So honestly, both paths appeal to me, not just from a money perspective — it's more about which one is more viable where I am.

Important constraint: I don't plan to relocate. I want to stay in Warsaw.
From what I can tell, quant opportunities in Warsaw are pretty limited compared to cybersecurity, which is much more established here. But quant still feels like the more interesting path to me, so I wanted to ask:

• How realistic is a quant career in Warsaw/Poland specifically? Are there firms or roles I might be overlooking?
• Has anyone built a quant career while staying in Poland (remote, local offices, etc.)?
• Given my constraints, is quant worth pursuing, or should I lean into cybersecurity, which ticks my boxes too and has a stronger local market?

For context, even if the quant path doesn't work out, the skills (math, stats, programming) should transfer well to data science or ML — assuming that field is still not popped by the time I graduate, and this is still the thing that i excel at uni.

Also, learning both at the same time seems like an option for a while — but with my already packed schedule as an athlete, I'm not sure it's sustainable long-term. So: is it smarter to hedge and split my time, or commit to one path early?

Thanks in advance!

I have my interview coming up in a few weeks and wondering what to expect.

i’m cambridge engineering. currently getting a first class in first two years, alth a substantial portion of my degree hinges on these last two years.

sadly i kind of had no idea quant was a thing and was targeting big tech stuff. but it seems like a really sensible career aspiration now since AI has killed a load of the engineering jobs.

i did one internship in machine learning research where i learned a little about pytorch and jax and that kind of thing, nothing published yet though - it seems rly hard to get UG publications in the uk. my project work has mainly to do with low level c++ graphics and things like that.

i have the belief im not really good enough for qt or qr, i worry my mental math isnt there neither is my statistics. instead ive been grinding leetcode and was gonna aim for internships in low level c++ gpu side engineering, or possibly something in fpgas since ive done a little tinkering with that, but not enough rly.

then, possibly in a years time when im much better a coding and dsa id have a shot at new grad quant dev, or even after one or two YOE doing software elsewhere?

what do you think? am i in a decent spot? what would you do if you were in my shoes?

all the best

Is codeforces respected among top quant firms (Jane street, SIG, etc.)

If it is, what rank, thank you

Anyone knows how long will it take to hear the final decision after onsite interview? For New York office.

Anyone got insights on Maven technical interview? Down to trade for other firms (js, sig, drw, opt etc.).

A Theoretical Physics Master's from the University of Crete in Greece.
I have an offer for the same and am looking for options in both research and quant after graduating next year.*
What are the odds of a position as a Quant Researcher post this degree, given an applicant already *has research papers and Oxbridge research experience?

* denotes edits

i am currently in a math undergrad program and planning on trying to join a masters in math&finance or something along those lines of a quant masters. for quant i know you need to know programming
so my question as a math undergrad whats the best way to bridge this knowledge gap that i have in the programming part of the job (some context i do have some experience with programming but im very rusty its been a few years so its not easy for me plus advanced problems are very hard for me)

any advice is appreciated!

I'm interested to break into actual quant trading. Right now, I've done quant research at a very big bank for 3 years. Before that, I double-majored in CS+pure math at a top US school (no grad school).

What sorts of roles/firms do I have a chance of? And is there anything you all would recommend to improve chances beyond the normal probability/math problem interview prep?

Does anyone have experience with hrt onsite for algo dev in for summer 2027? Willing to trade

Suggestions

35yrs old; Live in Fidi; Early-middle career professional; 3+ yrs PC valuation at asset manager; prior experience in PE valuation, FP&A finance commercial banking; sat CFA L3 this Aug26.

I am interested in pursuing a career in trading. I would love to sit on a desk, grind long hours learning the business, and eventually develop into a discretionary trader.

Not getting much traction through LinkedIn apps. Trying to find alternative avenues into a job role. If anyone has advice/insights, please share. Happy to connect

🇺🇸

I completed the OA for IMC’s US 2027 Quantitative Trader Internship in mid July and haven’t received either an update or a rejection.

I followed up with campus recruiting on August 25 and received an automated response asking me to allow up to seven business days, but I haven’t received a human response yet.

Has anyone in the US QT pipeline heard back after the OA? If so, when did you complete it, and approximately how long did it take to receive an update? Also, should I be sending an email again, or should I assume that I am rejected?

22 | Central Europe | Aspiring Quant Trader / Systematic PM

Non-target BSc in International Business Econ → MSc in Business Data Analytics → now starting a PhD in Data Science focused on adaptive learning for non-stationary financial markets.

MSc thesis: built a regime-aware US technology equity allocation framework using Gaussian HMMs + fundamental signals, achieving 1.39 Sharpe vs 0.31 for XLK on an unseen 2025–26 holdout, with point-in-time data and transaction costs.

My PhD training is deliberately filling the quantitative gap: Probability & Statistics, Markov Chains, Statistical Signal Processing, Data Stream Mining, Graph Neural Networks, Time Series, Financial Risk, Price Fluctuations, Optimization, Machine Learning and Deep Reinforcement Learning, followed by Neural Computing, Simulation and AI.

Previous experience across asset management and investment banking, alongside building my own Python research/trading infrastructure and systematic futures strategies.

My research interest sits at the intersection of adaptive/continual learning, reinforcement learning, sequential data and quantitative finance ultimately with the goal of becoming a quant trader and systematic portfolio manager.

For people who came through a non-traditional route: what would you prioritize next to become genuinely competitive for top quant roles?

I'm a bit overwhelmed with the amount of stuff I need to learn to do my job effectively. Don't really have a background in quant finance (got a Masters in data science). My career started out in financial/payments related software, then data science/analytics at investment company. Now working at London based fintech company in the FX/Options. I really want to make the most of my current opportunity to get deeper knowledge as a quant. I don't really want to go back to uni. Has anyone ever been in this same situation, what should I focus on?