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- Tasks: Curate and maintain a knowledge base of global financial data for analysis.
- Company: Dynamic firm in quantitative finance, fostering collaboration and innovation.
- Benefits: Competitive pay, annual bonus, free lunch, 30 days leave, and great work-life balance.
- Why this job: Join a team that tackles complex financial problems and drives impactful data solutions.
- Qualifications: Background in finance or tech, strong analytical skills, and experience with data tools.
- Other info: Enjoy a relaxed dress code and monthly company events in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Data Vendor Analyst in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Vendor Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and might just land you a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of financial data and tools like Tableau. We want to see your analytical skills in action, so be ready to discuss how you've used data in past roles.
✨Tip Number 3
Showcase your collaboration skills! Be prepared to share examples of how you've worked with different teams. We value teamwork, so highlight those experiences where you’ve made a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of our team.
We think you need these skills to ace Data Vendor Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Vendor Analyst. Highlight your experience with data management, financial instruments, and any relevant tools you've used. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and finance. Share specific examples of your past work that demonstrate your analytical mindset and collaboration skills.
Showcase Your Technical Skills: Since this role requires technical know-how, don’t forget to mention any experience you have with data cataloguing tools or visualisation software like Tableau. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at G-Research
✨Know Your Data Inside Out
Make sure you have a solid understanding of the financial data ecosystem. Brush up on key data sources, financial instruments, and markets relevant to the role. Being able to discuss specific examples will show your expertise and enthusiasm.
✨Showcase Your Organisational Skills
As a Data Vendor Analyst, organisation is key. Prepare to discuss how you've managed data or projects in the past. Bring examples of frameworks or tools you've used to keep information accessible and well-categorised.
✨Communicate Clearly and Collaboratively
This role requires close collaboration with various teams. Practice articulating your thoughts clearly and be ready to demonstrate how you've successfully worked with others in previous roles. Highlight any experience you have with cross-functional teams.
✨Familiarise Yourself with Tools
If you have experience with data cataloguing and visualisation tools like Tableau, make sure to mention it. If not, do a bit of research on these tools and be prepared to discuss how you would approach using them in this role.
