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 were building a world-class platform to amplify our teams most powerful ideas.
As part of our engineering team youll shape the platforms and tools that drive high-impact research - designing systems that scale accelerate discovery and support innovation across the firm.
The role
Were seeking an experienced Elastic Data Engineer to lead the design implementation and ongoing management of log ingestion pipelines and data strategy within the Elastic SIEM ecosystem.
You will ensure that ingested data is reliable scalable and high-quality supporting both security investigations and long-term analytics. Youll also be responsible for data governance honing in on integration retention redaction and compliance requirements.
Reporting to the Security Engineering Manager this role is made for someone keen to help shape the long-term data strategy within the security tooling estate mentor junior engineers and collaborate across teams to deliver robust security data services.
Key responsibilities of the role include:
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:
Behavioural:
Why should you apply
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
We use machine learning, big data & the most advanced tech to predict movements in financial markets.