Campus Recruiter, Machine Learning and Quantitative Research
Jane StreetJane Street is hiring a Campus Recruiter, Machine Learning and Quantitative Research in Recruiting — New York, New York, United States. The overview below is synthesized from the employer posting on janestreet.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
About the Position
Company context from the listing:
The listing frames the Campus Recruiter, Machine Learning and Quantitative Research at Jane Street as a hands-on product role. You will help us plan, organize, and execute our internship programs for both teams in our New York office.
Hiring the right people is one of the most important parts of our business. We have developed a dynamic recruitment strategy and engaging interview process to find and hire some of the best and brightest new talent from all corners of the world.
We are looking for someone who can deliver excellent day-to-day candidate management while also zooming out with members of Recruiting and teams across Jane Street to think about what we can be doing better, and where our recruiting efforts need to go next.
Our ability to get the little things right, stay responsive and helpful, and create connections with our candidates is what drives our recruiting success. You’ll need to be highly organized with excellent attention to detail and a roll-up-your-sleeves, no-job-too-small attitude.
About You
Company context from the listing:
- Have 8+ years of professional recruiting experience (having experience managing a summer internship program is strongly preferred)
- Eager to learn new skills and make an immediate impact
- Able to communicate clearly with colleagues, candidates, and search firms
- Approachable and humble about what you do and don’t know; not afraid to ask for help and admit mistakes
- Self-starter who can manage several projects and priorities simultaneously
- Curious about the operations of the firm and how recruiting fits into the bigger picture
- No financial industry experience is required
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
Build a standout application
For the Campus Recruiter, Machine Learning and Quantitative Research at Jane Street, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.
Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.