Lead Technical Recruiter (quant Engineering)

Ripple Ripple · Fintech · New York, NY +1 · Recruiting

Lead Technical Recruiter for Quantitative Engineering and Algorithmic Trading roles at Ripple, focusing on end-to-end recruitment process, strategy development, and sourcing elite talent from niche environments.

What you'd actually do

  1. Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.
  2. Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.
  3. Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).
  4. Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.
  5. Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.

Skills

Required

  • 7+ years of proven experience in recruiting
  • at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent
  • Strong sourcing skills
  • Experience using niche channels to source candidates
  • Self-starter mentality
  • In-depth knowledge of the quantitative tech stack
  • Experienced Bay Area or Financial Hub recruiter
  • 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

Nice to have

  • A blend of agency (specialized search) and in-house startup experience is preferred
  • ability to 'speak the language' of PhDs and elite engineers

What the JD emphasized

  • Quantitative Engineering
  • Algorithmic Trading
  • Quantitative Engineers
  • Quantitative finance
  • quantitative tech stack
  • quantitative hedge funds