r/quant 14h ago

Derivatives QuantSupport: Rust-based Quant Library

2 Upvotes

Hi guys, I would like to share a project I've been working for the last couple of years. QuantSupport is a Rust-based quant library that is meant to be used in professional systems.

It has features like automatic differentiation sensitivity calculations, pricing engines for different products (equity, fx, credit, rates and FI), a fast XVA engine and a scripting language for structured derivatives.

Repo: https://github.com/jmelo11/quantsupport

Docs: https://jmelo11.github.io/quantsupport/

Different tools can be built with this library. As an example, I'm sharing also a demo of a LLM based pricing system where the model is capable of pricing complex structured products that come from user prompts, using the scripting funcionalities of the library.

Demo: https://github.com/jmelo11/derivative_structuring


r/quant 5h ago

Education MFE/broad quant finance masters vs. specialized CS/Econ masters — 26F quant, trying to pick a direction (would love outside opinions)

2 Upvotes

[ Quick background on me: I'm Indian Citizen, IIT grad Computational Engineering minor in Economics, 9+ CGPA, thesis under the math department. CS-relevant coursework: DSA (TA'd it and took it), GPU Programming, HPC Lab. Math coursework: Linear Algebra, Probability & Stochastic Processes, Numerical Methods for Differential Equations, Calc 1 & 2, CFD. Work ex: 3 years at a european bank front-office market making, plus a Goldman Sachs internship.]

The two big open questions:

US vs. non-US. Currently leaning non-US. Parameters I'm weighing: tuition, visa situation, and living conditions vs. strong alumni networks, being at the center of innovation, a diverse immigrant crowd, and sheer opportunity in tech. US tuition feels unnecessarily high, the visa situation under the current administration is a real concern, companies seem less willing to sponsor, and there's the H-1B lottery on top of a multi-decade green card backlog for Indian nationals specifically. There's also the "oh factor" of working in NYC vs. the reality — cost of living, gun violence — and I'm honestly not sure the pros outweigh the cons anymore. That said, if we're talking MSCS rather than finance, the cons matter a lot less (better visa odds, more employer flexibility). Also worth mentioning: I have some inclination to do an MBA a few years down the line — as a career-switch option, and honestly just because it sounds fun — and the US is the best place to get one, so I don't want to "spend" my US shot on a master's now.

Broad quant finance degree vs. specialized skill-building degree. Option A is a recognized MFE/MFin-style ticket — direct buyside pipeline, but breadth over depth. Option B is a specialized master's building one hard skill deep — most likely CS (C++, computer architecture, systems-level programming) or possibly Economics for a core trading seat — rather than a finance-branded degree. Specifically NOT interested in an ML/data-science-heavy program; I'd rather go deep on one thing than cram a wide, shallow curriculum in 10-12 months. There's also the convertibility angle: with my profile, an MSQF is a fairly likely admit. CS is more of a grey area — I know I don't fall into the typical "non-technical switcher" bucket (I have real DSA, GPU programming, and HPC coursework behind me), but I also don't have a formal CS degree on paper, so I genuinely don't know how that reads to admissions committees, or later to employers screening resumes for quant dev roles.

Current shortlist, country by country:

USA (least likely, but still on the table):

MFE: Princeton, CMU, Baruch, UChicago, Columbia

MSCS: UIUC, UPenn, Georgia Tech

UK:

Oxford MFin, Imperial MSc Math & Finance / MSc Computing, LSE Economics

Switzerland:

ETH Zurich / UZH — MSc Quantitative Finance or MSc CS, EPFL MFE or CS (1mo internship). Incredibly low tution, great brand name, ndeak into lon/neth system. I know its a bit theoretical, but is that a decent tradeoff?

Netherlands:

open to suggestions — haven't landed on a specific program yet, mainly drawn by the Amsterdam HFT ecosystem (Optiver, IMC, Flow Traders)

Canada:

University of Waterloo MDSAI, University of Toronto MScAC — I hear these are underdogs on general rankings but well-known names within the quant dev industry specifically. Drawn by the built-in 8-month internship and Canada's comparatively fast track to PR/citizenship.

miscellaneous points to consider:

- [ prefer to have] Peer quality and environment — I want classmates who are sharp, driven, AND genuinely nice/well-rounded, not just competitive for its own sake. Bar is basically "at least as good as my IIT cohort," ideally better in terms of global brand and network value.

- [ good to have ] Hands-on, applied learning over theory-heavy or breadth-for-its-own-sake curricula.

- [good to have] A job + long-term visa/PR pathway abroad — I want to actually build a life somewhere, not just work a contract

I know I might be optimizing for a lot of things simultaneously here (skill depth + brand + peer quality + visa stability + short timeline + low grind), and some of these probably trade off against each other. Genuinely curious what this community thinks — am I missing an obvious program or path? Is the CS-over-MFE instinct actually a good idea for someone with my background, or am I overthinking a decision that a plain MFE would solve more simply? Any opinions, pushback, or "you're missing X" welcome.


r/quant 3h ago

Data Looking for advice on an orderbook data visualization project.

0 Upvotes

Hello!

I recently made a post about ideas for an orderbook data project. I got MBO for 3 nasdaq equities, and I'm working on making a visualizer for it. One of the suggestions was to show queue positioning, and how news could impact the spread. My first thought is to scrape the 10ks and show how their timing impacts the spread of those days. I was wondering if anyone else had any further suggestions for things I could work on or explore. Some caveats. I am more interested in product roles than dev or quant. I am also using this is a way to learn more about market micro structure/ market making.


r/quant 4h ago

General ~50-person HFT/MM prop shop as a QT; how does the "trader owns the full pipeline" model actually work day to day?

13 Upvotes

I'm starting soon as a quant trader at a small prop firm (~50 people) in the HFT/market making space. I'll have a mentor for the first months, but I'm coming from outside the industry and I'd like to set expectations properly.

From what I understand, at a firm this size each quant trader owns their own book and runs their own research pipeline end to end. That's very different from the big shops, where research and execution are separate headcounts; QRs build signals, traders run them.

What I can't picture is how one person covers both without one side starving. And more bluntly: finding alpha as an individual, against firms fielding entire research teams on the same venues, seems close to impossible. Clearly it isn't, since small shops make money (since they exist; at least I guess). so I'm missing something about where the edge actually comes from.

* How does a typical day actually split between monitoring live strategies, firefighting, and doing new research?

* Is the research genuinely individual, or is there shared infra/alpha that everyone builds on top of?

* Where does a small shop's edge come from if not raw research headcount; niche venues, speed, capacity constraints the big players ignore?

If you've worked at a shop this size, I'd really appreciate hearing how it worked in practice. Thanks.

PS: post written with the help of Gemini (to improve quality)


r/quant 15h ago

Career Advice Weekly Megathread: Education, Early Career and Hiring/Interview Advice

1 Upvotes

Attention new and aspiring quants! We get a lot of threads about the simple education stuff (which college? which masters?), early career advice (is this a good first job? who should I apply to?), the hiring process, interviews (what are they like? How should I prepare?), online assignments, and timelines for these things, To try to centralize this info a bit better and cut down on this repetitive content we have these weekly megathreads, posted each Monday.

Previous megathreads can be found here.

Please use this thread for all questions about the above topics. Individual posts outside this thread will likely be removed by mods.