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.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
The role
We are seeking an exceptional engineering leader to head our Technical Signals Engineering function – a key pillar of our Research Engineering division.
This role reports directly into the Head of Research Engineering and offers the opportunity to shape and evolve a high-impact team that partners closely with Research to co-develop and operationalise complex, compute-intensive ML models.
This is a rare opportunity to lead at the intersection of world-class engineering, cutting-edge quantitative research and real-world impact.
Key responsibilities of the role include:
Defining and executing the long-term strategy for the Technical Signals Engineering function
Leading and evolving a high-performing engineering organisation, including multiple experienced managers
Shaping the future of our compute estate, including adoption and optimisation of next-generation infrastructure
Building and maintaining robust systems to run models in live 24/5 environments, with observability, reliability and operational control at their core
Developing and embedding best-in-class MLOps practices
Helping to define our vision for the future of ML and quantitative research, and mapping out our vision in this space
Acting as a key partner and sparring peer to Research, bridging deep technical insight with applied domain understanding
Owning the function’s roadmap, headcount and budget, adapting priorities in line with strategic and technical developments
Contributing to the strategic direction of G-Research’s broader engineering and compute estate, helping define how our infrastructure enables long-term competitive edge
Who are we looking for?
The ideal candidate will have the following skills and experience:
Deep expertise in machine learning systems engineering, with the technical depth to challenge, enable and accelerate world-class research
Proven track record of people leadership, including developing leaders of leaders, and scaling high-functioning technical organisations
Strong operations and product mindset, with hands-on experience running ML models and platforms in production at scale
Deep practical experience in MLOps
Demonstrate clear, strategic thinking, with the ability to map industry trends to technical roadmaps, drive change and align teams to a compelling vision
Experience working in high-performance computing environments, with exposure to large-scale model training, time-series forecasting or quantitative domains beneficial
Strong collaboration and communication skills, with the ability to influence stakeholders across engineering, research and product boundaries
Why should you apply?
Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
35 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.
