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Jobs / Ripple

Lead Technical Recruiter (Quant Engineering)

Ripple·Londonlead

In short

  • →Líder en reclutamiento técnico para ingenieros cuantitativos y de trading algorítmico.
  • →Busca talento elite en nichos como Kaggle, ArXiv, Codeforces y conferencias científicas (NeurIPS, ICML).
  • →Se requiere dominio absoluto del proceso de reclutamiento desde la captación hasta la negociación de ofertas.
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What they ask for

  • ✓7+ años de experiencia en reclutamiento técnico.
  • ✓3+ años enfocados en ingeniería cuantitativa, HFT o ML.
  • ✓Experiencia comprobada reclutando talento pasivo y bien remunerado.
  • ✓Habilidades avanzadas de sourcing en canales especializados.
  • ✓Capacidad para trabajar con ingenieros de alto nivel y líderes técnicos.
  • ✓Organización precisa y mentalidad proactiva en entornos ágiles.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

KaggleGitHubArXivCodeforcesNeurIPSICMLHiring ManagersTechnical AssessmentsRecruiting AnalyticsCandidate Experience

Who should you write to at Ripple?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Are you a seasoned Lead Technical Recruiter with a precision attitude and a deep understanding of the quantitative landscape? Look no further! Ripple is seeking a Lead Technical Recruiter to join our dynamic team and help us secure the elite talent necessary to drive our high-frequency growth and algorithmic innovation. As the Lead Technical Recruiter, you will be a crucial architect of our talent pipeline, owning the end-to-end process for specialized Quantitative Engineers and Researchers. You will partner closely with hiring managers to identify and attract the world's brightest mathematical and technical minds. In this role, you will have the opportunity to work with a versatile team and play a key role in crafting the future of Ripple. You will work closely with our Talent Acquisition team to develop and implement a sophisticated recruiting strategy that aligns with our strategic objectives, while providing an exceptional candidate experience for high-stakes talent. Join us and be part of a company that is revolutionizing the way we think about global payments through innovative engineering! WHAT YOU’LL DO: • 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 (Codeforces), and quantitative finance conferences (NeurIPS, ICML). • 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. WHAT YOU'LL BRING: • 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.</p

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