Lead Technical Recruiter, Quant Engineering

Ripple

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
134 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $186k
$137k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $157,150–$214,325.

Based on 240 similar postings.

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About Ripple

Ripple Labs is a blockchain and cryptocurrency company that develops the XRP Ledger and provides cross-border payment solutions to financial institutions, enabling faster and cheaper international money transfers. Industry: Blockchain Technology & Cross-Border Payments

Ripple currently has 11 open roles on FindRole.

Listed pay typically runs $168,000–$200,000 across 9 roles with salary data.

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At a glance

TL;DR · Lead Technical Recruiter, Quant Engineering

Lead Technical Recruiter (Quant Engineering) joins the Talent Acquisition team to architect a talent pipeline for specialized Quantitative Engineers and Researchers. This role involves owning the end-to-end recruiting process, from sourcing to complex offer negotiations, specifically for high-frequency growth and algorithmic innovation roles. The successful candidate will develop sophisticated strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, and competitive programming forums while ensuring a white-glove experience during technical assessments. Key responsibilities include managing intake meetings, providing performance analytics, and partnering with engineering leads to align on modeling requirements. Required expertise includes the quantitative tech stack involving C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. The role requires proficiency in Greenhouse, LinkedIn Recruiter, and specialized sourcing tools like Entelo or SeekOut to solve complex hiring needs within the fintech landscape.

What you'll do

  • Manage the end-to-end recruiting process for Quantitative Engineering and Algorithmic Trading positions.
  • Develop high-level recruitment strategies to meet aggressive hiring goals and technical priorities.
  • Execute creative sourcing strategies across niche platforms like Kaggle, GitHub, ArXiv, and specialized forums.
  • Provide a white-glove candidate experience for high-stakes talent during rigorous technical assessments.
  • Partner with hiring managers to identify specific requirements for quant stacks and modeling needs.
  • Lead intake meetings, interview kick-offs, and technical debriefs to maintain a data-driven hiring bar.
  • Deliver weekly performance analytics and progress reports to senior leadership and hiring managers.

What we're looking for

  • 7+ years of proven experience in recruiting.
  • 3+ years of experience specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
  • Experience with both agency (specialized search) and in-house startup environments is preferred.
  • Proficiency in discussing the quantitative tech stack including C++, Python, Rust, Low-Latency systems, and Distributed Computing.
  • Proven track record of sourcing passive, highly-compensated talent from niche channels like Kaggle, GitHub, ArXiv, and research labs.
  • Expertise in Greenhouse (ATS), LinkedIn Recruiter, and specialized sourcing tools like Entelo or SeekOut.
  • Strong communication skills with the ability to engage effectively with PhDs and elite engineers.
  • Experience as a recruiter in the Bay Area or Financial Hub with knowledge of the FinTech and quantitative hedge fund landscape.

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