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G-Research

Quantitative finance research applying rigorous methods

Senior Red Team Operator

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Strong communication, organisational and analytical skills, with excellent attention to detail.
  • Ability to identify novel attack paths and achieve operational objectives while maintaining realistic threat actor emulation.
  • Ability to make sound decisions and deliver results in ambiguous, fast-changing environments.
  • Administrator-level experience in Windows 11 and Linux systems.
  • Strong scripting skills in PowerShell, Python or similar, and programming experience in languages such as C/C++, Go or C#.
  • Advanced understanding of operational security, offensive techniques and defensive technologies, including how security controls can be bypassed or mitigated.

Responsibilities

  • Research threat actors, target environments and defensive controls to design realistic attack paths and operation-specific kill chains.
  • Develop custom tooling, tradecraft and tactics, techniques and procedures to support offensive operations.
  • Execute adversary emulation operations, contribute to operational decision-making, and adapt approaches as new information emerges.
  • Document and share technical knowledge, operational experience, operational security techniques and ways of working.
  • Provide subject matter expertise on emerging cyber threats and offensive security techniques.
  • Contribute to the continuous improvement of team tooling, processes and operational capabilities.

Desired Qualifications

  • Several years’ experience conducting offensive security operations, such as red teaming or computer network operations, ideally within technology or financial services.

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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