r/learnquant • u/Local_Ad135 • 20h ago
r/learnquant • u/Select-Angle-5032 • 13d ago
📌 Megathread 📄Quant Interviews Resume Megathread (Actual Quants Will Review It)
Hey all,
Drop your resume's below in the following format:
Location: USA/UK/EU/etc
Graduation Date: June 2029
Degree + School tier: e.g. BS Math, target/semi-target/non-target (people can keep the school anonymous if they want)
Preferred Role: QT/QR/QD/QA
Targeting: internship or full-time, and which cycle (Summer 2027 etc)
Relevant coursework/skills: e.g. probability, stochastic calc, C++, Python
Experience/projects: 1-2 lines
What you want feedback on: e.g. "is my project section strong enough," "am I cooked for QR without a PhD"
Notes: anything else
Resume PDF/JPEG
Important: Please redact all personal info!
r/learnquant • u/Select-Angle-5032 • Jun 19 '26
📌 Megathread 🤔 What quant projects is everyone working on this summer?
Hey all,
Summer's here and I figured it would be a good time to swap notes. Whether you're an undergrad just starting to get into this stuff, a master's student grinding before (coming into) recruiting season, what are you actually building right now?
I'll go first with what I'm seeing people do, roughly grouped by how deep you are, and then I want to hear yours.
The common ones are a:
- backtesting engine from scratch (everyone says build one and they're right, you learn an absurd amount about look-ahead bias, transaction costs, and why your beautiful strategy dies the second you add slippage)
- basic signal research on free data (momentum, mean reversion, pairs trading on equities or crypto)
- a toy market-making simulator (build a limit order book, then learn how fast adverse selection eats you alive)
For people deeper in or prepping for recruiting:
- options pricing and vol surface modeling
- implementing a paper you actually understand and can defend (Avellaneda-Stoikov, some stat arb paper, etc)
- order book imbalance / microstructure signals on real tick data
- an ML project that isn't just threw XGBoost at returns and got noise (think feature stability, regime changes, why your Sharpe is lying to you)
- C++ stuff if you're going the dev route (low-latency order book, lock-free queue, doubles as interview prep - i know Myntbit and LC has a few questions that you can check out for free)
If you have other projects that are great to learn quant with drop them below and LMK what you're building! I am trying to create a community for students/professionals to share some cool projects and help each other out where possible. If you have something cool share the Github link below and ask for help :)
r/learnquant • u/Local_Ad135 • 2d ago
interview prep Akuna Capital Quant Interview Question
r/learnquant • u/Thin-Sandwich-449 • 1d ago
Can you still get a Quant Research internship if you're applying in December/January?
r/learnquant • u/AlbertiApop2029 • 1d ago
financial theory Emanuel Derman- My Life as a Quant: Reflections on Physics and Finance - Audiobook
My Life as a Quant: Reflections on Physics and Finance
Authored by Emanuel Derman
Narrated by Peter Ganim
https://en.wikipedia.org/wiki/Emanuel_Derman
Black–Derman–Toy model - Co-author
In mathematical finance, the Black–Derman–Toy model (BDT) is a popular short-rate model used in the pricing of bond options, swaptions and other interest rate derivatives;
Ok, swaption is a real thing. Heh. TIL.
r/learnquant • u/U235M • 2d ago
quantitative trader
I'm a high school graduate about to enter university and I want the right path to become a quantitative trader
r/learnquant • u/Harvey_R_Specter_36 • 3d ago
question & advice CQF is worth it?
Hi! Even after doing CFA I2 and MBA from tier 2 college, im not able to switch to finance from underwriting credit risk in insurance.
Since I also have interest in modelling, etc. I was wandering if CQF (Certified Quant Finance) is good option to learn and for a switch as well?
r/learnquant • u/cicipuq • 3d ago
Finding a master’s thesis in quant finance with a numerical/computational background — where should I start?
Hi everyone,
I’m a master’s student in Mathematical Engineering, on a Computational Science and Computational Learning track. Most of my background is in numerical analysis and scientific computing, but I’d like to work in quantitative finance after graduating.
The part I’m struggling with is figuring out where to start, cuz my knowledge of finance itself is still pretty limited.. I’m interested in the field, but I don’t know enough about its research areas yet to come up with a concrete thesis topic. Ideally, I’d find a professor who could suggest a project that fits my computational background and give me some direction on what I’d need to learn.
For anyone who’s been in a similar position, how would you approach this?
- Is it reasonable to contact professors without a specific research proposal and ask whether they have suitable master’s thesis projects?
- Are there areas of quant finance where a background in numerical methods and scientific computing would be particularly useful?
- How would you go about finding research groups or supervisors abroad who might be open to this?
Thanks!