Lead Technical Recruiter (Quant Engineering)
You'll be a crucial architect of Ripple's talent pipeline, owning the end-to-end process for specialized Quantitative Engineers and Researchers. You'll partner closely with hiring managers to identify and attract the world's brightest mathematical and technical minds. Working alongside the Talent Acquisition team, you'll develop and implement a sophisticated recruiting strategy that aligns with strategic objectives, all while providing an exceptional candidate experience for high-stakes talent.
Responsibilities
- Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.
- Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.
- Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums, and quantitative finance conferences.
- Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.
- Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.
- Own and drive the intake meeting, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar.
- Deliver weekly performance analytics and progress reports to hiring managers and senior leadership.
Requirements
- 7+ years of proven experience in recruiting, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
- A blend of agency (specialized search) and in-house startup experience is preferred to navigate both high-volume and high-touch environments.
- Strong sourcing skills with a proven track record of converting passive, highly-compensated talent into hires.
- Experience using niche channels to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events.
- Self-starter mentality who thrives in a fast-paced, collaborative environment with exceptional organizational precision.
- In-depth knowledge of the quantitative tech stack, including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing.
- Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds.
- Expertise in the tools of the trade: Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (e.g., Entelo, SeekOut), and technical repositories like GitHub.
- Strong written and verbal communication skills, with the ability to "speak the language" of PhDs and elite engineers.
Benefits
- Professional development budget
- In-office collaboration flexibility (10+ days a month)
- Bi-weekly all-company meeting
- Team offsites, team bonding activities, and happy hours
- Competitive bonuses and equity
- Competitive benefits covering physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
- R&R days
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy
- Industry-leading parental leave policies and family planning benefits
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and fun events