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Lead Technical Recruiter (Quant Engineering)

Ripple · 合规/托管/其他 · 上架 2026-05-28
面议
合规/法务/财务HR资深/Staff📍 New York, NY, United States美国

职位要求 / 描述

<div class="content-intro"><p><span style="font-weight: 400;">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. </span></p> <p><span style="font-weight: 400;">If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</span></p></div><div> <p><strong>THE WORK:</strong></p> <p>Are you a seasoned <strong>Lead Technical Recruiter</strong> 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.</p> <p>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!</p> <p><strong>WHAT YOU’LL DO:</strong></p> <ul> <li><strong>Own the specialized recruiting process</strong> from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.</li> <li><strong>Develop high-level strategies</strong> to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.</li> <li><strong>Plan out-of-the-box sourcing strategies</strong> to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).</li> <li><strong>Ensure a white-glove candidate experience</strong>, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.</li> <li><strong>Partner with hiring managers</strong> to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.</li> <li><strong>Own and drive the intake meeting</strong>, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar.</li> <li><strong>Deliver weekly performance analytics</strong> and progress reports to hiring managers and senior leadership.</li> </ul> </div> <div> <p><strong>WHAT YOU'LL BRING: </strong></p> </div> <div> <ul> <li><strong>7+ years of proven experience in recruiting</strong>, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.</li> <li><strong>A blend of agency (specialized search) and in-house startup experience</strong> is preferred to navigate both high-volume and high-touch environments.</li> <li><strong>Strong sourcing skills</strong> with a proven track record of converting passive, highly-compensated talent into hires.</li> <li><strong>Experience using niche channels</strong> to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events.</li> <li><strong>Self-starter mentality</strong> who

技能关键字

#Machine Learning

职责方向

团队管理性能/容量数据分析招聘/HR

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Lead Technical Recruiter (Quant Engineering) · Ripple
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