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G-Research

Quantitative finance research applying rigorous methods

Deputy Head of Open Source Development

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Strong engineering background across distributed systems, data platforms, machine learning, high-performance computing infrastructure, developer tooling, or related domains.
  • Experience reviewing or writing production-quality code, ideally in Python, C++, Java, Rust, or Go.
  • Ability to navigate complex codebases and understand architecture-level trade-offs.
  • Ability to engage and influence stakeholders at all levels.
  • Strong relationship-building skills and ability to work effectively across technical and non-technical groups.
  • Proven ability to operate in complex environments, influence without authority, and manage competing priorities.
  • A pragmatic and resilient approach with strong judgement and a passion for open source.

Responsibilities

  • Lead day-to-day engagement between the Open-Source Program Office and internal stakeholders, ensuring alignment between open-source contributions and business priorities.
  • Partner with the Head of Open-Source Development to shape strategy, evaluate opportunities, and prioritize work across Research, Machine Learning, and Platform Engineering areas.
  • Build trusted relationships across engineering, research, architecture, and leadership teams.
  • Identify emerging technical needs and translate them into actionable open-source initiatives.
  • Act as a primary point of contact for new requests, managing requirements and stakeholder expectations.
  • Evaluate technologies, proof of concepts, and research tooling to assess suitability and adoption opportunities.
  • Drive internal adoption of open-source contributions, gathering feedback and coordinating improvements.
  • Promote awareness of the Open-Source Program Office’s capabilities, impact, and strategic value across the firm.
  • Support governance, prioritization, and portfolio management across the Open-Source Program Office.
  • Maintain clear documentation, roadmaps, and reporting to measure and communicate program impact.

Desired Qualifications

  • Experience contributing to open-source projects or communities.
  • Experience in quantitative research, high-performance computing, machine learning, or regulated environments.

About the Company

G-Research

Quantitative finance research applying rigorous methods

G-Research applies scientific rigour to solve complex challenges in financial markets. It brings together world-class researchers and engineers to develop data-driven models and trading ideas, testing them through rigorous experimentation and robust infrastructure. Unlike many traditional asset managers, its culture emphasizes deep exploration, reproducibility, methodical execution, and long-term thinking. The goal is to generate alpha through disciplined, evidence-based research that informs investment decisions and advances understanding of financial markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2001

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