Posted:
2/18/2026, 4:00:00 PM
Location(s):
Greater London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Data & Analytics
Workplace Type:
Hybrid
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a hybrid role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
This position is based within the Data Analytics team, part of the wider Insights and Delivery function, which is collectively responsible for providing timely insights on business health and for the development and delivery of G-Research's strategy.
Data is at the heart of our business 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 an Insight Analyst , you will be at the forefront of facilitating data-driven decision making across the business, 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