Data Vendor Analyst

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.

Take the next step in your career.

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

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

• 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