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Lead Technical Recruiter (Quant Engineering)

London, England, UK💼 Full-time🗓 2026-07-08 → 2026-08-02

Required skills

7+ years of proven experience in recruiting, at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent, blend of agency (specialized search) and in-house startup experience, 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, 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, ability to speak the language of PhDs and elite engineers.

Preferred skills

None explicitly stated as preferred, though agency/in-house blend is listed under 'WHAT YOU'LL BRING' with 'is preferred'.

Technologies

C++, Python (NumPy/Pandas), Rust, Low-Latency systems, Distributed Computing, Greenhouse (ATS), LinkedIn Recruiter, Entelo, SeekOut, GitHub.

Responsibilities

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, 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, 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, deliver weekly performance analytics and progress reports to hiring managers and senior leadership.

Seniority

Lead Technical Recruiter, 7+ years of experience.

Domain

Quantitative Engineering, High-Frequency Trading (HFT), Machine Learning, FinTech, global payments, crypto solutions.

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