Resume for Quantitative Finance Roles
Quant resumes are filtered by other quants — usually in 60 seconds or less. They aren't pattern-matching for prestige cues like an IB recruiter. They're scanning for math depth, programming fluency, and signal that you can think in distributions. Most quant resumes lose at one specific thing: trying to look like an IB resume.
What quant teams actually look for
Three signals dominate: math/stats coursework that goes past the requirement, languages you've shipped real code in (not just classroom Python), and projects or research with a measurable analytical claim. Pedigree matters but it's a tiebreaker, not the lead.
- Coursework: stochastic calculus, real analysis, measure theory, time-series econometrics, ML — list what you've actually completed
- Languages with depth: Python (NumPy/pandas/PyTorch), C++, R, kdb+/q for HFT-flavored roles
- Research or projects with an analytical claim ('Sharpe of 1.4 out-of-sample' beats 'built a trading strategy')
- Math competitions, Putnam scores, IMO/USAMO — actually read at most quant shops
How to present research and personal projects
If you have published or pre-print research, link it. If you have a personal trading or modeling project, treat it like a research note: dataset, method, result, limitations. Vague claims ("developed a neural network for price prediction") fail because every quant has heard 100 of those.
What to leave off
Leadership bullets that feel like LinkedIn slop. Random 'soft skill' rows. SAT scores past your sophomore year (most quant shops don't care after that). Long lists of frameworks you've barely used. Be ruthless — a one-page quant resume with three real bullets crushes a two-page one with twenty hand-wavy bullets.
Examples
Quant project bullet — before vs. after
- Before: Built ML models for trading using Python.
- After: Implemented mean-reversion stat-arb on US equity pairs (2017–2024); produced annualized Sharpe of 1.6 net of 5bp transaction costs out-of-sample, 1.8 with daily rebalance; full code + backtests on GitHub.
FAQ
Should I include my GPA?
Yes if it's 3.7+, especially in math/CS/physics majors. Below that, you can omit. Most quant teams would rather see strong coursework than a forced GPA.
Is a research paper required?
No. A serious self-driven project with a clear analytical claim and reproducible code is comparable signal for entry-level roles.
What about Kaggle competitions?
Top finishes (gold/silver in real competitions, not 'ranked top 5%' inflation) are worth listing. Bronze and 'participated' aren't.
Related reading
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