Security Data and Platform Engineer

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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. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams build and operate complex systems at scale. Take the next step in your career.

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As a Security Data and Platform Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security. As the organisation’s Security Data SME, you will own the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments. Alongside this specialist focus, you will contribute as a well‑rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you will ensure security data is reliable, high‑quality, cost‑effective and fit for monitoring, investigation, threat hunting and compliance.

Key Responsibilities\n

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• Act as the technical authority and SME for security data within the Elastic Security ecosystem
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• Design, implement and maintain scalable security data ingestion pipelines into Elastic SIEM
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• Own the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources
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• Define and continuously improve data quality standards to support detection, investigation and threat hunting
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• Contribute to the operation, performance and evolution of the Elastic Security platform
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• Apply software engineering and scripting skills, for example in Python or Bash, to automate ingestion, validation, monitoring and operational workflows
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• Support configuration as code and infrastructure as code to improve consistency and scalability across security tooling
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• Drive the development of a security data strategy aligned with business and regulatory requirements
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Qualifications\n

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• Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar
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• Expertise in Elastic data modelling, indexing and performance optimisation
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• Experience designing scalable log collection and processing architectures
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• Knowledge of data governance, retention and security telemetry across cloud, endpoint and network
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• Experience with Azure, AWS, GCP or hybrid environments
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• Strategic mindset with a focus on long‑term data quality and platform evolution
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• Strong communication skills, with ability to explain complex concepts to technical and non‑technical stakeholders
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• Collaborative approach with experience mentoring others and working across teams to improve security outcomes
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Benefits\n

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• Highly competitive compensation plus annual discretionary bonus
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• Lunch provided via Just Eat for Business and dedicated barista bar
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• 35 days’ annual leave
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• 9% company pension contributions
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• Informal dress code and excellent work‑life balance
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• Comprehensive healthcare and life assurance
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• Cycle‑to‑work scheme
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• Monthly company events
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Inclusive Work Environment\n

G-Research is committed to cultivating and preserving an inclusive work environment. We place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

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