Quantitative Researcher
Research / Remote · Global / Full-time
Base compensation based on experience + equity
ApplyAbout AlgoLift
AlgoLift is the no-code platform that tells traders whether their strategy passes a prop-firm evaluation — before they pay for it. Traders build strategies on a visual canvas, backtest them tick-by-tick on real order-book data, and simulate the full prop lifecycle across dozens of real firm rulesets. We're a small, senior, remote-first team building serious quantitative tooling for a market that's been stuck with spreadsheets and guesswork.
About the role
AlgoLift's promise is honesty: walk-forward, Monte-Carlo robustness, PBO, deflated Sharpe, prop-firm pass probabilities. You'll own the methodology behind those numbers — making sure a stated 60% pass rate actually means 60%.
What you'll do
- Own and extend our robustness, walk-forward, and significance methodology.
- Design resampling and Monte-Carlo methods that resist overfitting and survivorship bias.
- Calibrate prop-firm pass-probability models against real outcomes over time.
- Translate rigorous statistics into features traders can actually use.
- Keep us intellectually honest about what our numbers do and don't claim.
What we're looking for
- Graduate-level training in statistics, quantitative finance, or a related field (or equivalent experience).
- Deep understanding of overfitting, multiple-testing, and resampling methods.
- Strong Python for research and prototyping.
- The rigor to know when a result is real and the clarity to explain why.
Bonus points
- Experience with trading-strategy evaluation or backtesting.
- Familiarity with PBO, deflated Sharpe, CPCV, or similar.
- Published or applied work in quantitative methods.
How hiring works
Intro call
A 30-minute conversation with the hiring manager about your background and what you're looking for.
Working session
Ninety minutes on a real problem from our roadmap, or a walkthrough of something you've already built. You think out loud, we push back, and we both find out what working together actually feels like. No algorithm puzzles.
Meet the team
Conversations with a few of the people you'd work with day to day.
Founder chat & offer
A final conversation, references, and an offer.
AlgoLift is an equal-opportunity employer. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Base compensation is set by experience, and every role includes meaningful equity.
Apply
Tell us about yourself and attach your resume. We read every application for Quantitative Researcher.