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G-Research is seeking an Elastic Security Engineer to join our London engineering team. You will own security data onboarding, tuning and stabilisation across cloud, hybrid and corporate environments, while also contributing as a broader security engineer to automate ingestion, validation and monitoring workflows.
You will collaborate with SOC, Detection Engineering and Platform teams to ensure data quality and scalable security tooling.
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. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role As an Elastic Security Engineer, you will combine broad security engineering expertise with deep knowledge of security data pipelines and Elastic Security. As the organisation’s Security Data subject matter expert (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.
The ideal candidate will have the following skills and experience: Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar Expertise in Elastic data modelling, indexing and performance optimisation Experience designing scalable log collection and processing architectures Knowledge of data governance, retention and security telemetry across cloud, endpoint and network Experience with Azure, AWS, GCP or hybrid environments Strategic mindset with a focus on long-term data quality and platform evolution Strong communication skills, with ability to explain complex concepts to technical and non-technical stakeholders Collaborative approach with experience mentoring others and working across teams to improve security outcomes
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and 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 At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.