Ripple

technical recruiter for quantitative engineering

In short

Ripple is hiring a lead-level technical recruiter to own end-to-end hiring for Quantitative Engineering and Algorithmic Trading roles, from sourcing through offer negotiation. The role requires 7+ years of recruiting experience with deep sourcing expertise in quant finance, HFT, or ML talent, plus familiarity with quant technologies like C++, Python, and Rust. It's hybrid in London, with 10+ in-office days per month expected.

About Ripple
Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system and promote greater economic fairness and opportunity. Its engineering innovations are focused on transforming global payments.
Responsibilities
•Own the specialized recruiting process from sourcing through complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions
•Develop hiring strategies to meet aggressive goals, aligning technical priorities and performance objectives with Engineering Leads
•Plan sourcing strategies to attract elite talent through niche communities, repositories, forums, and quantitative finance conferences
•Provide a white-glove candidate experience and prepare candidates for rigorous technical assessments throughout the process
•Partner with hiring managers to understand quant stacks, modeling requirements, and performance engineering needs
•Lead intake meetings, interview team kick-offs, and technical debriefs to establish a data-driven hiring bar
•Deliver weekly performance analytics and progress reports to hiring managers and senior leadership
Requirements
•7+ years of recruiting experience, including at least 3+ years focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent
•Strong sourcing skills and a track record of converting passive, highly compensated talent into hires
•Experience sourcing through niche channels, including math Olympiads, research labs, and diversity-in-STEM academic events
•Self-starter with strong organizational precision who thrives in a fast-paced, collaborative environment
•In-depth knowledge of quantitative technology, including C++, Python (NumPy/Pandas), Rust, low-latency systems, and distributed computing
•Experienced Bay Area or financial hub recruiter with extensive knowledge of FinTech and quantitative hedge fund markets
•Expertise with Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools such as Entelo and SeekOut, and technical repositories such as GitHub
•Strong written and verbal communication skills, including the ability to communicate effectively with PhDs and elite engineers
Nice to have
•A combination of specialized agency search and in-house startup experience
Benefits
•Competitive salary, bonuses, and equity
•Benefits include physical and mental healthcare, retirement, family-forming and family-support benefits, employee giving match, mobile phone stipend, wellness reimbursement, parental leave, and family-planning benefits
•Professional development budget
•R&R days, generous vacation policy, catered lunches, stocked kitchens, and team events
•In-office collaboration is expected for 10+ days per month, with managers and teams choosing the days
•Benefits listed above are for full-time employees

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