How to Get a Referral at a Hedge Fund or Quant Firm
Quant trading firms and hedge funds hire tiny classes from enormous applicant pools. The single highest-leverage move is not another online application — it is a warm referral from someone already inside. Here is the exact playbook.
Find someone who can refer you →See who can refer you in — pick your target company:
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“Hi — we both studied at [your school]. I’d love to hear about your path to a company you are targeting before I apply…”
Why a referral matters more at a quant firm than almost anywhere else
The top quantitative trading firms and hedge funds receive tens of thousands of applications for a few dozen seats. Jane Street, Citadel, Two Sigma, Hudson River Trading, Optiver, Jump Trading, and Susquehanna each extend a small, fiercely contested number of offers every cycle. An online application drops into that pile and is screened algorithmically before a human ever sees it.
A referral changes the path entirely. It routes your application past the filter to a real recruiter or trading desk, attaches a current employee's name to yours, and frequently surfaces the firm's early, fast-closing recruiting timeline — the single most common reason strong candidates miss out. It does not lower the technical bar. The probability questions, mental-math games, and coding rounds are identical for everyone. But it gets you into the process, which at these firms is most of the battle.
You do not need a finance background — you need the right introduction
This is the most misunderstood point about breaking into quant. Firms like Jane Street, Hudson River Trading, Two Sigma, and Optiver recruit overwhelmingly from math, computer science, statistics, ORFE, and physics programs. They train traders from scratch and screen for probabilistic reasoning, speed, and problem-solving — not for a finance résumé. Engineering roles screen for algorithms and low-latency systems skill.
That has a direct consequence for you: the people who can credibly refer you are not Wall Street bankers. They are your former classmates from your math or CS program, your old research-lab mates, people you competed with in math olympiad or competitive programming, and ex-colleagues from a previous engineering or analytics job. Those shared signals are exactly what turn a cold message into a warm introduction.
The step-by-step playbook
- Find someone inside who shares a real connection with you. Look for current employees at the target firm who attended your school (especially the quantitative programs), worked at one of your past employers, or share a community with you. FindWarmIntros does this automatically — enter the firm and your background, and it returns real employees ranked by how strong your shared connection is.
- Open with the shared signal, never a cold ask. Lead with the genuine link: "fellow Princeton ORFE grad," "we overlapped at [company]," "saw your Codeforces background." Keep it to three or four sentences. Ask for a short conversation, not a referral.
- Have a 15-minute conversation. Ask about their desk, the role, and the interview format. Show you have researched the firm. This is where the goodwill that makes a referral easy to give gets built — and where you learn the real recruiting timeline.
- Make a specific, easy-to-say-yes ask. Follow up with your resume and the exact role or team. Ask plainly: "Would you be comfortable submitting a referral for me?" A referrer is putting their name on you, so make it low-effort and low-risk: a tight resume, a clear target, a one-line pitch.
- Prepare for the technical bar. The referral gets you the interview, not a pass. Drill probability, expected value, and fast mental math for trading roles; algorithms, data structures, and systems for engineering roles — guided by exactly what your contact says the firm weights.
Firm-by-firm: where referrals land and what each one tests
Each firm has a distinct culture and interview. Use a contact inside to route your referral to the right desk and to learn what to drill. These guides go deeper on each:
Jane Street
Hires for probabilistic thinking and problem-solving, not pedigree. Mock-trading and mental-math games are the real bar. OCaml and a love of puzzles signal fit.
Jane Street referral guide →Citadel & Citadel Securities
Separate hedge fund and market-maker arms with separate pipelines. Recruits early and fast. Clarify which arm and desk before your contact refers you.
Citadel referral guide →Two Sigma
Engineering-first; treats investing as a data and systems problem. Distinct quant-research, software, and quant-dev tracks — target the right one.
Two Sigma referral guide →Hudson River Trading
A research-and-code shop. Algorithm developers and core engineers from competitive-programming and systems backgrounds. Small headcount, high bar.
HRT referral guide →Optiver
Options market-making; trader interviews lean on fast mental arithmetic and EV under time pressure. Separate trader and low-latency engineer tracks.
Optiver referral guide →Jump Trading
Deliberately low public profile, so a warm intro matters more than usual. Low-latency engineering (C++, FPGA) and quantitative research at the core.
Jump Trading referral guide →Susquehanna (SIG)
Grounds trading in game theory — new traders famously learn poker. Strong, early undergrad pipeline. Think in probabilities and EV.
Susquehanna referral guide →D. E. Shaw
Blends quant rigor with broad, generalist hiring across systematic and fundamental groups. Known for challenging probability and brain-teaser rounds.
D. E. Shaw referral guide →Point72
The Academy is the structured way in for those without buy-side experience. Discretionary long/short pods plus the systematic Cubist unit.
Point72 referral guide →Bridgewater
Screens hard for culture (radical transparency). Distinct investment, engineering, and management-associate tracks. Reasoning over pedigree.
Bridgewater referral guide →Who can actually refer you (even if you "don't know anyone")
Most people underestimate their reach into these firms because they look only at first-degree contacts. Your real surface area is wider:
- University alumni — especially from math, CS, statistics, ORFE, EE, and physics. The strongest feeders include MIT, Princeton, Harvard, Stanford, Carnegie Mellon, Berkeley, Caltech, Chicago, Waterloo, and Cornell.
- Former colleagues and intern-mates — anyone you worked alongside who has since moved to a fund. A shared past employer is a powerful warm signal.
- Competition and research communities — math olympiad, Putnam, ICPC/Codeforces, Kaggle, and research labs are disproportionately represented inside quant firms.
- Adjacent finance and tech contacts — people one step removed who can make a second-degree introduction to the person you actually need.
FindWarmIntros maps all of these for any target firm at once: enter the firm plus your schools and past employers, and it returns the real people who share a connection with you — each with a drafted, warm intro message you can send. Free, no signup.