Technical Director Engineering

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Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office opened in 2023 - in the heart of Central London and home to our Research Lab.
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.
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
Building and maintaining robust systems to run models in live 24/5 environments, with observability, reliability and operational control at their core
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
Contributing to the strategic direction of G-Researchs broader engineering and compute estate, helping define how our infrastructure enables long-term competitive edge
Deep expertise in machine learning systems engineering, with the technical depth to challenge, enable and accelerate world-class research
Strong operations and product mindset, with hands-on experience running ML models and platforms in production at scale
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
Highly competitive compensation plus annual discretionary bonus
~ 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

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Location:
London
Job Type:
FullTime

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