Quantitative Trader positions focus on delivering results in their domain. This page aggregates open Quantitative Trader roles and what employers typically expect.
About the Position Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced Traders teach and oversee the less-experienced. New Traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it. Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml Engineers in any industrial setting. About You We are looking for people who have a strong quantitative mind and enjoy working collaboratively to solve challenging problems in a practical setting. Prior knowledge of finance or economics is not expected or required. Experience with particular programming languages is also not required, although generally being comfortable programming in your language of choice is a plus. Fluency in English required. If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com .
Salary estimate
$81,000 – $109,000/yr
Provided by the employer.
Skills for this role
Recruiting
Resume tips for Quantitative Trader applicants
Lead with measurable achievements relevant to Quantitative Trader (numbers, scope, impact).
Mirror the exact keywords from the Quantitative Trader posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Python, C++, Machine Learning, Automation).
Keep it to one page for early-career, two pages for senior Quantitative Trader candidates.
Interview preparation
Prepare concrete STAR-format stories that show Quantitative Trader outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Quantitative Trader problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About Jane Street
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