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About the Role

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. 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.

Responsibilities

Acting as the technical authority and SME for security data within the Elastic Security ecosystem
Designing, implementing and maintaining scalable security data ingestion pipelines into Elastic SIEM
Owning the onboarding, tuning, normalisation and stabilisation of security data feeds across cloud, endpoint, network and SaaS sources
Defining and continuously improving data quality standards to support detection, investigation and threat hunting
Contributing to the operation, performance and evolution of the Elastic Security platform
Applying software engineering and scripting skills, for example in Python or Bash, to automate ingestion, validation, monitoring and operational workflows
Supporting configuration as code and infrastructure as code to improve consistency and scalability across security tooling
Driving the development of a security data strategy aligned with business and regulatory requirements

Requirements

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

Skills

Elastic Stack
Logstash
Beats
Kafka
Elastic data modelling
Indexing
Performance optimisation
Log collection architectures
Log processing architectures
Data governance
Data retention
Security telemetry
Cloud environments
Endpoint security
Network security
SaaS security
Azure
AWS
GCP
Hybrid environments
Python
Bash
Software engineering
Automation
Platform thinking
Configuration as code
Infrastructure as code

Location

London

Work Type

Onsite

Salary/Compensations

Highly competitive compensation plus annual discretionary bonus

Benefits

Lunch provided via Just Eat for Business and dedicated barista bar
35 days’ annual leave
9% company pension contributions
Informal dress code and excellent work-life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events

About the Company

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.

Equal Opportunity

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