Lead Technical Recruiter, Quant Engineering

Ripple

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$144,000–$180,000 / yr
Posted
134 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $162k
$135k most similar roles pay here $225k

This role pays less than 68% of similar roles. Most pay $156,187–$215,540 — the shaded band above. At the midpoint, this role pays about $162k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

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.

Most-posted roles

View all roles at Ripple

At a glance

TL;DR · Lead Technical Recruiter, Quant Engineering

Lead Technical Recruiter (Quant Engineering) joins the Talent Acquisition team to architect a high-quality pipeline for specialized Quantitative Engineers and Researchers. This role involves owning the end-to-end recruitment process, from sourcing through complex offer negotiations, specifically for positions in algorithmic trading and quantitative engineering. The successful candidate will develop sophisticated recruiting strategies, conduct intake meetings, manage technical debriefs, and provide performance analytics to leadership. To succeed, you must possess deep knowledge of the quantitative tech stack, including C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing. You will utilize tools like Greenhouse, LinkedIn Recruiter, Entelo, SeekOut, and GitHub to engage talent from niche environments such as Kaggle, ArXiv, and competitive programming forums. The role focuses on solving the challenge of identifying elite mathematical minds for high-frequency growth and algorithmic innovation within a complex financial technology landscape.

What you'll do

  • Manage the end-to-end recruiting process for Quantitative Engineering and Algorithmic Trading roles.
  • Develop high-level recruitment strategies to meet aggressive hiring goals in alignment with technical priorities.
  • Execute creative sourcing strategies across niche platforms like Kaggle, GitHub, ArXiv, and competitive programming forums.
  • Provide a white-glove candidate experience for high-stakes talent throughout the interview and assessment process.
  • Partner with hiring managers to define specific requirements for quant stacks, modeling, and performance engineering.
  • 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 from niche channels like Kaggle, GitHub, ArXiv, and academic research labs.
  • Expertise with Greenhouse (ATS), LinkedIn Recruiter, and specialized sourcing tools like Entelo or SeekOut.
  • Experience recruiting in the Bay Area or Financial Hubs with knowledge of the FinTech and quantitative hedge fund landscape.
  • Strong written and verbal communication skills to effectively engage with PhDs and elite engineers.

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