Henry Booth — Co-Founder

I help quantitative researchers, ML researchers, and ML engineers move into high-impact roles at hedge funds, prop firms, and AI-driven trading teams. My focus is the intersection of systematic trading and machine learning, covering areas like alpha research, market microstructure, execution, stat arb, LLMs, deep learning, neural networks, research engineering, and ML infrastructure. QuantLink sits at that intersection, sourcing talent from tech into funds, and from funds into tech or within their own sector. That gives me a good view of how skills transfer across both sides, and where the real opportunities are. Most of the roles I work on are not generic. They are specialist seats where firms want people who can build signals, improve models, scale research workflows, or productionise ML systems in environments where performance and commercial impact matter. Over the last 10+ years, I’ve worked across quant trading and advanced engineering hiring, helping candidates move from banks into the buy side, between top funds, and from big tech or AI-heavy environments into trading teams. Typical mandates include: • Quantitative Research • ML Research and Applied ML • ML Engineering and Infrastructure • Quant Development and Research Engineering • Execution and Market Microstructure Research • Trading platform and distributed systems engineering I’m still open to selected PM and trader hiring, but my main focus is research and engineering talent in systematic and ML-driven trading. Most of my work sits across the US and London, working with teams building at the intersection of systematic trading and machine learning, often in highly selective, non-public hiring processes. If you are exploring the market, or just want a clearer view of how your background translates across funds and tech, feel free to reach out.

Stackforce AI infers this person is a specialist recruiter in Fintech and quantitative trading sectors.

Location: London, England, United Kingdom

Experience: 14 yrs 3 mos