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 role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
The role
The Data Intelligence team sits within our Research function and plays a critical role in managing the firm’s data assets. The team oversees the full lifecycle of data products — from discovery and delivery to ongoing stewardship and commercial oversight — acting as the central link between our quantitative research teams and external data providers.
As a Data Vendor Analyst, you will help curate and maintain a comprehensive knowledge base covering global financial and related data domains. This ensures that data sources are easily discoverable, consistently categorised, well-documented and accessible to stakeholders across the business.
We are seeking a well-organised and technically adept individual to take ownership of this knowledge base. You will be instrumental in scaling our data intelligence capabilities to match the rapid expansion of both the external data landscape and our internal appetite for data.
Success in this role requires close collaboration with quantitative researchers, data scientists and engineers, as well as regular interaction with legal and commercial teams across and beyond the organisation. You will need a strong understanding of research workflows, data lifecycles and the commercial aspects of data acquisition and management. Familiarity with the financial data ecosystem and hands-on experience with cataloguing tools and best practices is essential.

Key responsibilities of the role include:

• Documenting the relevance, quality and reliability of data sources for quantitative analysis
• Designing, implementing and maintaining a robust framework for gathering and storing up to date information on the financial data industry
• Categorising vendor documentation, supporting white papers and other relevant literature
• Managing tooling to improve the discoverability of information within these resources
• Assisting the data engineering team in integrating newly acquired products into the data infrastructure
• Collaborating with data stakeholders to improve insights into the company’s data estate

Who are we looking for?

The ideal candidate will have the following skills and experience:

• A background in finance, mathematics, computer science or a related field
• Experience dealing with third party suppliers, particularly in the data and software industries
• A strong knowledge of financial instruments, markets and data sources
• Organised with an analytical mindset
• Strong communication and collaboration skills
• Knowledge of data cataloguing and data visualisation tools, such as Tableau, is a plus

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

• Documenting the relevance, quality and reliability of data sources for quantitative analysis
• Designing, implementing and maintaining a robust framework for gathering and storing up to date information on the financial data industry
• Categorising vendor documentation, supporting white papers and other relevant literature
• Managing tooling to improve the discoverability of information within these resources
• Assisting the data engineering team in integrating newly acquired products into the data infrastructure
• Collaborating with data stakeholders to improve insights into the company’s data estat