Software Engineer at a Hedge Fund
Write code that moves billions of dollars — and get paid like it.
Entry Pay
$250K–$450K
total comp
Hours / Week
~55
on average
Remote
On-site
flexibility
Specializations
3
paths to choose
Overview
Employers
Sector Vibe
Hedge funds use sophisticated mathematical models and algorithms to trade financial markets. They hire top engineers and mathematicians to build the systems that move billions of dollars. High pressure, extraordinary pay, very selective.
Day in the Life
Career Ladder
Career Levels
Junior Software Engineer
- →Implement components of trading or risk systems under close mentorship
- →Write rigorous unit and integration tests
- →Learn the firm's proprietary infrastructure and trading domain
- →Participate in on-call rotation with senior support
Software Engineer
- →Own critical components of live trading systems end-to-end
- →Collaborate directly with quantitative researchers to implement new strategies
- →Lead latency optimization and reliability projects
- →Conduct technical interviews for new hires
Senior Software Engineer / Vice President
- →Architect trading infrastructure serving the entire firm
- →Define engineering standards and practices
- →Partner with portfolio managers on technology strategy
- →Lead a team of 3–6 engineers
Managing Director / Head of Technology
- →Set technology vision for the entire firm or a major business unit
- →Manage teams of 20–50 engineers
- →Report directly to C-suite
- →Lead hiring, culture, and engineering strategy
Specializations
Low-Latency / High-Frequency Trading (HFT) Engineer
4–8 yearsThe elite tier of quantitative engineering. You optimize trading systems to execute in nanoseconds — writing C++ code directly against hardware, bypassing the operating system for speed. Used at pure HFT firms like Virtu, Citadel Securities, and Jump Trading.
↑ 50–100%+ above standard hedge fund SWE
Quantitative Developer (Quant Dev)
3–6 yearsSit at the intersection of software engineering and mathematical finance. You implement the mathematical models that quant researchers design — pricing derivatives, backtesting strategies, calculating risk. Part engineer, part applied mathematician.
↑ 20–50% above standard hedge fund SWE
Risk Systems Engineer
3–5 yearsBuild the systems that ensure the fund doesn't blow up. Real-time risk aggregation, position limits, scenario analysis, regulatory reporting. Less glamorous than trading tech, but critical infrastructure — and regulators ensure it's always funded.
↑ 10–25% above standard hedge fund SWE
Exit Opportunities
Compensation
📍 Location: Hedge fund hubs: New York City (Greenwich, CT corridor), Chicago, and London. Minimal remote work — proximity to trading operations is expected. NYC cost of living is high but $400K+ comp at senior levels makes it viable.
Source: LinkedIn Salary 2024, Glassdoor Hedge Fund Engineering, industry surveys, Wall Street Oasis 2024 · 2024
Education
Best Majors
Alternative Majors
Key Courses to Take
Top Programs
Carnegie Mellon University
BSComputer Science (SCS)
Strongest systems program in the US. Low-level and distributed systems courses are exactly what HFT firms want. Exceptional on-campus recruiting from quant firms.
#1 for systems and low-level CS
MIT
BSComputer Science & Engineering / Mathematics
Citadel, Two Sigma, and DE Shaw all recruit heavily here. The combined CS + Math degree is ideal for quant dev roles.
Top target school for all quant firms
University of Chicago
BSComputer Science / Statistics
Right in the heart of Chicago's trading ecosystem. Citadel is headquartered next door. Strong quantitative finance culture and research.
Top target for Chicago quant firms
Columbia University
MSFinancial Engineering
The top master's program for quant finance. Combines mathematics, CS, and financial theory. Many graduates go directly to hedge funds.
#1 MS Financial Engineering program
A top CS or Math undergrad from a target school is the main entry requirement. An MS in Financial Engineering or Computer Science can help for quant dev roles. A PhD in Physics, Math, or CS is common among quant researchers (a different role) but less so for pure SWEs.
School to Career
The stuff you're learning right now directly applies to this career — often in ways your teacher hasn't mentioned.
Courses That Matter
AP Computer Science A
The object-oriented fundamentals you learn in AP CS A — classes, loops, recursion — are the building blocks of the trading systems you'll write. Think of the algorithms problems in the class as low-stakes rehearsal.
AP Calculus BC
Derivatives and integrals show up constantly in financial models. Options pricing uses partial differential equations. If you go the quant dev route, Calculus BC is the minimum — you'll take multivariable calc in college.
AP Statistics
Statistical thinking is the core of quantitative finance. Probability distributions, hypothesis testing, regression — these are the tools quants use to decide whether a trading strategy works or is just luck.
AP Physics C
Many of the best quant engineers studied physics. The habit of building mathematical models of real systems — exactly what physicists do — transfers directly to modeling financial markets.
Algebra II / Pre-Calculus
Functions, sequences, and series (geometric and arithmetic) are used in financial math — compound interest, option payoffs, risk aggregation. It seems abstract now but it's foundational.
Extracurriculars That Count
Competitive Programming (USACO, Codeforces, ICPC)
Hedge funds specifically look for competitive programmers. USACO Gold/Platinum level is a genuine differentiator in internship applications to Citadel, Jane Street, and DE Shaw.
Math Olympiad (AMC, AIME, USAMO)
Jane Street and Renaissance Technologies famously value mathematical olympiad experience. It demonstrates the kind of abstract reasoning that separates elite quants from average engineers.
Stock Market / Investing Clubs
Shows genuine interest in markets. Understanding why you're building what you're building — the financial intuition behind trading strategies — makes you a far more effective engineer.
“If you're the person who reads about how the 2008 financial crisis happened for fun, or who finds the speed of light limiting in an interesting way, or who wants to be paid seriously for being seriously smart — this path will feel made for you.”
Who Got Here Before You
Jim Simons
Founder, Renaissance Technologies
Math PhD who built the most successful hedge fund in history using pure mathematical models. His Medallion Fund returned 66% annually before fees for over 30 years. Proof that mathematicians can outperform Wall Street at its own game.
D.E. Shaw
Founder, DE Shaw Group
Columbia CS professor who applied computer science to financial markets in the late 1980s — before anyone else thought that was possible. DE Shaw became one of the most technically elite hedge funds and also incubated Amazon (Jeff Bezos was a VP there before leaving to start Amazon).
Misha Malyshev
Founder, Teza Technologies; Former Head of HFT, Citadel
Built Citadel's high-frequency trading operation into one of the most profitable in the world, then started his own firm. Exemplar of the engineer-to-founder path in quantitative finance.