G

G-Research

Quantitative finance research applying rigorous methods

Technology Operations Manager

Business OperationsConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Genuinely comfortable operating as a generalist across data work, process improvement, and operational coordination.
  • Demonstrable experience owning and delivering analytical work end-to-end, not just executing a defined task.
  • An understanding of AI-enabled development, with sound judgment on when and why to apply these tools.
  • Systems thinking, able to see how a metric, a process, and a governance point connect rather than analyzing in isolation.
  • Strong communication skills and comfort engaging and challenging senior managers directly.
  • Ability to work through ambiguous problems and identify the right approach rather than needing the problem predefined.
  • Practical experience in a business analytics or operations setting, ideally in a fast-paced environment.
  • Strong demonstrable technical capability, for example Python and SQL.

Responsibilities

  • Own recurring operational and productivity reporting end-to-end.
  • Engage directly with senior managers on ad hoc data requests.
  • Support operational effectiveness initiatives such as process redesign.
  • Hold day-to-day ownership of operational hygiene and resilience tasks.
  • Flag emerging issues to the Operations Director.
  • Build strong relationships across technology teams.

Desired Qualifications

  • Practical experience in a business analytics or operations setting, ideally in a fast-paced environment.

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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