Posted:
2/12/2026, 4:00:00 PM
Location(s):
Greater London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Senior
Field(s):
Data & Analytics
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.
Every breakthrough is built on strong foundations. In our Data Analytics team, you’ll work across disciplines to drive the strategy, culture and structure that enable our success.
Take the next step in your career.
Our Data Analytics team is part of the wider Strategy and Insights function, which is collectively responsible for providing timely insights on the firm’s health and for the development and delivery of G-Research's strategy.
Data is at the heart of what we do and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm.
As a leader within the team, you will be at the forefront of facilitating data-driven decision making, working closely with senior leadership to structure, analyse and drive outcomes for complex and strategic problems.
Key responsibilities of the role include:
The ideal candidate will have the following skills and experience:
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
Website: https://www.gresearch.co.uk/
Headquarter Location: London, England, United Kingdom
Employee Count: 251-500
Year Founded: 2001
IPO Status: Private
Industries: Business Intelligence ⋅ Cyber Security ⋅ Information Technology ⋅ Machine Learning ⋅ Natural Language Processing ⋅ Software Engineering