Lead Technical Recruiter (Quant Engineering)

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. - 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. For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. NY Annual Base Salary Range $144,000—$180,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they

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.