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.

The role

As a Security Data and Platform Engineer (Elastic Security), you’ll take on a hybrid security engineering role, combining strong general security engineering foundations with deep subject-matter expertise in security data pipelines and Elastic Security.

Reporting to the Security Engineering Manager, you will act as the Security Data SME for the organisation, owning the onboarding, tuning, stabilisation and evolution of security telemetry across cloud, hybrid and corporate environments.

In addition to this specialist focus, you will make vital contributions as a well-rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security problems.

You will work closely with SOC and CSIRT, detection engineering, platform engineering and cloud teams to ensure that security data is reliable, high-quality, cost-effective and fit for purpose across monitoring, investigation, threat hunting and compliance use cases.

Key responsibilities of the role include:

• Acting as the technical authority and SME for security data within the Elastic Security ecosystem
• Designing, implementing and maintaining robust, scalable security data ingestion (in particular Logstash) pipelines into Elastic SIEM, drawing on established data engineering and platform practices
• 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, ensuring telemetry is reliable and usable for detection, investigation and hunting
• Contributing to the operation, monitoring and evolution of the Elastic Security platform, supporting availability, performance, upgrades and integrations
• 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 approaches to ensure consistency and repeatability across security tooling

Driving the ongoing development of a coherent security data strategy aligned to business and regulatory needs.

Who are we looking for?

The ideal candidate will have the following skills and experience:

• Strong experience in data engineering with Elastic Stack, including Ingest pipelines, Logstash, Beats, Kafka or similar
• Expertise in data modelling, indexing and optimisation within Elastic
• Proven ability to design scalable log collection and processing architectures
• Knowledge of data governance, compliance and retention strategies
• Familiarity with security data sources, such as cloud logs, endpoint logs and network telemetry
• Experience with cloud platforms, including Azure, AWS or GCP,  and hybrid environments
• Track record of mentoring or developing junior engineers

Behavioural:

• Strategic Thinking: Able to develop and execute a long-term data strategy.
• Precision: Ensures data quality, consistency and reliability at all times
• Communication: Capable of conveying complex data engineering concepts to security and non-security stakeholders
• Leadership: Supports and mentors junior colleagues to develop skills and independence
• Collaboration: Works across teams to ensure alignment of data practices with wider security and business goals

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 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

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