Lead Technical Recruiter (Quant Engineering)
Ripple provides payments, custody and stablecoin solutions that help financial institutions integrate blockchain and digital assets.
Funding history
Investors
Projects
About Ripple
Ripple helps financial institutions transform global payments by providing blockchain-powered infrastructure for cross-border payments, digital asset custody, and stablecoin solutions. With it, users can enable instant settlements, reduce costs, and access new markets. The company was originally founded as OpenCoin in 2012 and rebranded to Ripple in 2015.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the end-to-end talent pipeline for Quantitative Engineers and Researchers, partnering with hiring managers and Talent Acquisition to develop sophisticated recruiting strategies and deliver an exceptional candidate experience.
Requirements
- 7+ years of recruiting experience, including 3+ years focused on Quantitative Engineering, High-Frequency Trading, or Machine Learning talent.
- Agency specialized-search and in-house startup experience preferred.
- Strong sourcing skills and a record of converting passive, highly compensated talent into hires.
- Experience sourcing through math Olympiads, research labs, and diversity-in-STEM academic events.
- Self-starter with exceptional organizational precision in fast-paced collaborative environments.
- Ability to discuss C++, Python, NumPy, Pandas, Rust, low-latency systems, and distributed computing.
- Experience recruiting in the Bay Area or a financial hub, with FinTech and quantitative hedge fund market knowledge.
- Expertise with Greenhouse, LinkedIn Recruiter, Entelo, SeekOut, and GitHub.
- Strong written and verbal communication skills with technical and academic candidates.
Responsibilities
- Own specialized recruiting from sourcing through complex offer negotiations for Quantitative Engineering and Algorithmic Trading roles.
- Develop recruiting strategies aligned with hiring goals, technical priorities, and performance objectives.
- Source elite talent through Kaggle, GitHub, ArXiv, competitive programming forums, and quantitative finance conferences.
- Provide a white-glove candidate experience and prepare candidates for rigorous technical assessments.
- Partner with hiring managers to understand quant stacks, modeling requirements, and performance engineering needs.
- Lead intake meetings, interview team kick-offs, and technical debriefs.
- Deliver weekly performance analytics and progress reports to hiring managers and senior leadership.
Benefits
- Professional development budget
- Flexible in-office collaboration schedule
- Bi-weekly all-company meeting
- Team offsites, team bonding activities, and happy hours
- Competitive bonuses and equity
- Healthcare, retirement, family-forming, and family-support benefits
- Employee giving match
- Mobile phone stipend
- R&R days
- Wellness reimbursement and onsite and virtual programming
- Generous vacation policy
- Parental leave and family-planning benefits
- Catered lunches and fully stocked kitchens
Hiring Process
Candidates are advised and prepared for rigorous technical assessments. The vacancy explicitly includes an intake meeting, interview team kick-off, and technical debrief process.
