How to Break Into Quant as a Software Engineer in 2027
An AI founder's playbook for landing a quant SWE internship by 2027: firm timelines, interview prep, and cold email tactics that work.

I'm Michael, co-founder and CEO of Simplify, and before any of that I was a Stanford CS student who interviewed with Citadel as a freshman, again as a sophomore through the onsite stage, and again junior year. I had gone deep enough in their engineering process to take that path, but I chose to focus on Simplify instead. Quant is one of the most gate-kept recruiting tracks a student can go through, and most people only hear about it once they are already late. Here's the playbook I'd run if I were aiming at a 2027 start date and beginning today.
When Do Quant SWE Internships Open?
Quant SWE is a separate track from quant trader or quant researcher. You're building the systems that execute trades, not designing the strategies. That matters because the bar is whether you can write fast, correct, low-latency code, not whether you can solve a Putnam problem.
The firms that hire quant SWE interns are a short list: Jane Street, Citadel and Citadel Securities, Two Sigma, Hudson River Trading, Jump Trading, IMC, Optiver, DRW, and SIG. For a summer 2027 internship, most of these open applications in spring and summer 2026, roughly 12 months ahead. Jane Street and HRT have historically opened some of the earliest. A few close within days of opening. The students who get in saw the posting on day one.
I learned this the hard way during my own internship search. As a freshman I started looking around March or April and had no idea many roles open as early as July or August. By sophomore year I built a spreadsheet that logged applications, questions solved, and historical open dates, so I could apply earlier in later cycles. Do the same here. Track open dates from past quant cycles so you're ready when the window hits, instead of finding out a role closed three days ago.
How to Prepare for Quant SWE Interviews
The interviews split into two buckets: data structures and algorithms, and low-level systems knowledge.
For the first, grind LeetCode but be strategic. Do the Blind 75, then focus on mediums in arrays, hashing, dynamic programming, and graphs. Quant firms care about speed and clean code, so practice writing solutions in under 20 minutes without an IDE, and time yourself.
For the second, learn what most CS students skip. Know how memory layout affects cache performance and what a cache miss costs. Be able to explain why one data structure is faster than another in practice, not just in big-O. Read "Computer Systems: A Programmer's Perspective" or at least the chapters on memory and processors. Many firms ask C++ questions, so get comfortable with pointers, references, and move semantics.
Build one project that proves you can do this. A simple order-matching engine in C++ that takes buy and sell orders and matches them by price and time is perfect. Scope it to a weekend: parse a stream of orders, maintain a sorted book, match crossing orders, print the trades. Put it on GitHub with a clean README explaining the data structures you chose and why. This gives you something concrete to talk about and shows that you understand how exchanges actually work.
How to Get Referrals for Quant Roles
If you don't have a referral, the application portal swallows your resume and you never hear back. So go around it. Target recruiters and engineers at these firms on LinkedIn, but keep it short. Two paragraphs, readable on a phone. Lead with one specific reason you're a fit, mention the order-matching engine, and ask for a 15-minute call. Make your value clear in the first line, because that answers why they should bother replying.
Hi [name], I'm a CS sophomore who built a C++ order-matching engine over a weekend and I'd love to learn how HRT thinks about low-latency systems. Could I grab 15 minutes with you in the next two weeks? Happy to work around your schedule.
For smaller shops and prop firms with under a few hundred people, you can often email engineers directly. Find names on the team page, then use Hunter.io or Apollo.io to source the email from the full name. It works more often than you'd think. If drafting these from scratch slows you down, Simplify's AI Email helps draft the email from a specific role, so you can pair it with Hunter.io to find the address and send faster.
Don't over-apply, over-prepare
There are maybe 10 firms worth targeting seriously, so resist the urge to spray. Put your time into doing those 10 well: research each firm's tech stack, know whether they're C++ or a mix, and tailor your project talk to what they do. Six sharp applications beat sixty generic ones.
The hardest part isn't the LeetCode, it's the timing. These windows open early and close fast, and a year out is not too early to start tracking them.
Frequently Asked Questions
When do quant SWE internships open for a 2027 start?
Most of the major firms open applications for a summer 2027 internship in spring and summer 2026, roughly 12 months ahead. Jane Street and Hudson River Trading have historically opened some of the earliest, and a few roles close within days. Track each firm's past open dates so you're ready the moment the window hits.
Is competitive programming required?
No, though it helps. The interviews lean on data structures, algorithms, and systems knowledge rather than olympiad-style math. If you enjoy Codeforces, the speed practice transfers well. If you don't, structured LeetCode drilling plus low-level C++ work covers the same ground without the extra grind.
Do interns get return offers?
Return offer rates run high at most of these firms because the internship is essentially a long interview. Treat the summer like a 10-week audition: ship something measurable, ask sharp questions, and document your impact. Strong interns frequently convert, and a return offer often beats grinding the full recruiting cycle again.
What languages should I learn for quant SWE?
C++ is the backbone at most low-latency firms, so it deserves the most time. Python shows up for tooling and data work, and some shops use Rust or OCaml. Pick C++ first, get comfortable with memory and move semantics, then add a scripting language for breadth.