We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.
Take the next step in your career.
The roleWe’re hiring a Machine Learning Recruiter to connect G-Research with the brightest minds in AI and machine learning worldwide — the researchers defining the future of our field.
Our researchers face a daily challenge: disproving the efficient market hypothesis. To do that, they harness massive compute power and cutting-edge ML techniques — from methods fresh off the conference circuit to entirely novel approaches developed in-house. Textbook models won’t cut it. Machine learning is integral to developing successful investment strategies and remains one of the core drivers of our performance and success. Among our people are researchers published at ICML and NeurIPS.
Key responsibilities of the role include:
- Partnering with research leaders to define hiring priorities and build long-term talent strategies
- Identifying, engaging and nurturing outstanding individuals across academia, AI labs and industry
- Traveling globally to connect with leading ML communities, attend conferences and meet exceptional researchers where they are
- Leading end-to-end recruitment for high-impact ML and research roles, from initial outreach to closing
- Utilising data and market insight to guide hiring decisions, compensation discussions and process improvements
- Authentically representing G-Research, ensuring candidates experience our collaborative, intellectually demanding environment from their very first interaction
The ideal candidate will have the following skills and experience:
- Significant experience recruiting in highly technical or scientific environments, ideally within AI, ML or quantitative research
- Proven success hiring top-tier technical talent in global and highly competitive markets
- Confidence navigating complex searches and negotiations with care, precision and discretion
- Genuine curiosity about artificial intelligence, data science and modern research methods
- A structured, analytical approach to search, balancing insight, evidence and instinct
- The ability to operate effectively in a fast-moving, research-driven environment with evolving priorities
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Top Skills
What We Do
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.
We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.
