Source Architect

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.

The Open Source Software team exists to support all G-Research groups and help strengthen the global open‑source community.

Take the next step in your career.

This role acts as the connective tissue between the internal engineering world of G-Research and the external universe of open‑source software.

As an Open Source Architect, you will drive implementation of priority features within key projects, contributing directly to the open‑source ecosystem.

You will help to accelerate the adoption of open‑source tooling at G-Research in a way that improves our engineers’ user experience and productivity.

Key responsibilities of the role include:

• Partnering with internal teams to pinpoint and leverage open‑source opportunities and solutions
• Enhancing internal visibility of the team initiatives through our internal communication platforms like podcasts and interactive ‘surgery’ sessions
• Engaging directly with research and engineering teams to deeply understand and respond to their technological needs
• Facilitating and streamlining contributions to third‑party and in‑house open‑source projects
• Initiating and nurturing new open‑source projects to address emerging needs and opportunities
• Actively contributing to and influencing third‑party open‑source projects while staying abreast of new technologies in the open‑source community

The ideal candidate will have the following skills and experience:

• A strong background in machine learning systems and data engineering, with a deep understanding of open‑source technologies used in these domains
• Experience with modern ML frameworks and tooling, including PyTorch, JAX, Apache Arrow, Parquet, Polars, Ray and related training and inference tooling
• Familiarity with GPU/accelerator workflows, CUDA‑based software packaging and the practical realities of running ML workloads at scale is highly valued
• Proven track record in a technology‑driven role, preferably within a machine learning, data science or ML infrastructure team
• Expertise in using and contributing to open‑source software, particularly projects that underpin machine learning, data processing and numerical computing
• Proficiency in languages such as Python, C++, Rust, or Go, with exposure to CUDA or other GPU programming and familiarity with development platforms such as Git Hub, Git Lab and Bitbucket
• Ability to collaborate effectively across diverse teams and with external open‑source communities to drive mutual technological advancements
• Commitment to continuous personal and professional development, demonstrated through a history of pursuing technical certifications, workshops and seminars
• 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