Lead Technical Recruiter (Quant Engineering)

Ripple
New York, London
Workplace: HybridFull timeFunction: People, HR & TalentExperience: 7+ yearsSkills: ["Communication","Organization","Stakeholder management"]

Own end-to-end recruiting for Quantitative Engineering and Algorithmic Trading roles, partnering with engineering leaders to meet ambitious hiring goals. Build sourcing strategies to attract world-class quant and machine learning talent, leveraging niche channels and conferences. Run intake, interview kick-off, and technical debriefs to maintain a data-driven hiring bar, while delivering white-glove candidate experience and weekly analytics to hiring managers and senior leadership.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ripple
Ripple
6 months ago

Lead Technical Recruiter (Quant Engineering)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end recruiting for Quantitative Engineering and Algorithmic Trading roles, partnering with engineering leaders to meet ambitious hiring goals. Build sourcing strategies to attract world-class quant and machine learning talent, leveraging niche channels and conferences. Run intake, interview kick-off, and technical debriefs to maintain a data-driven hiring bar, while delivering white-glove candidate experience and weekly analytics to hiring managers and senior leadership.
Location: New York, London
Workplace: Hybrid
Employment Type: Full time
Job Function: People, HR & Talent
Seniority: Mid level

Key Responsibilities

  • •Own specialized recruiting from sourcing through complex offer negotiations for Quantitative Engineering and Algorithmic Trading roles.
  • •Develop recruiting strategies and sourcing approaches to meet aggressive hiring goals in partnership with Engineering Leads.
  • •Plan and execute sourcing using niche channels such as Kaggle, GitHub, ArXiv, Codeforces, NeurIPS, and ICML.
  • •Run intake, interview team kick-off, and technical debrief processes to support a data-driven hiring bar.
  • •Provide white-glove candidate experience and deliver weekly performance analytics and progress reports to hiring managers and senior leadership.

Pay and Benefits

Perks:Learning BudgetHealth InsuranceRetirementParental LeaveMobile StipendWellness StipendPaid LeaveMeal AllowanceEquityAnnual Bonus

Key Requirements

  • •7+ years of recruiting experience, including 3+ years focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
  • •Strong sourcing skills with a track record of converting passive, highly-compensated talent into hires.
  • •In-depth understanding of the quantitative tech stack, including C++, Python (NumPy/Pandas), Rust, low-latency systems, and distributed computing.
  • •Experience sourcing through niche channels (e.g., math Olympiads, research labs, and diversity-in-STEM academic events).
  • •Proficiency using Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (Entelo, SeekOut), and technical repositories like GitHub.
Experience:7+ yearsFinTechHigh-frequency tradingMachine learningAlgorithmic trading
Skills:CommunicationOrganizationStakeholder management
Languages:English
Tech Stack:C++PythonNumPyPandasRustGreenhouseLinkedIn RecruiterEnteloSeekOutGitHubDistributed Computing

Company Brief

Ripple
Builds blockchain-based payment and liquidity infrastructure for financial institutions and enterprises. Its products support cross-border payments, crypto liquidity, and digital asset settlement.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn