Hybrid London: Financial Data & Vendor Analyst

Hybrid London: Financial Data & Vendor Analyst

Full-Time 29700 - 36300 Β£ / year (est.) Home office (partial)
DonePlus

At a Glance

  • Tasks: Support financial data management and coordinate vendor requests in a dynamic investment environment.
  • Company: Doneplus, a leading firm in investment management based in London.
  • Benefits: Hands-on training, specialist expertise development, and a collaborative work culture.
  • Other info: Exciting opportunities for growth in a fast-paced industry.
  • Why this job: Gain valuable experience in finance and technology while making an impact.
  • Qualifications: Strong analytical skills and ability to work with diverse stakeholders.

The predicted salary is between 29700 - 36300 Β£ per year.

Doneplus in London is seeking a Financial Data & Vendor Analyst to support management of financial data, research and technology providers within a leading investment-management environment. You will coordinate vendor requests, contracts, renewals, budgets and reporting, while maintaining accurate information across internal systems and working with stakeholders across data, finance, legal and technology.

This role offers hands-on training and development of specialist expertise in financial.

Hybrid London: Financial Data & Vendor Analyst employer: DonePlus

Join a highly respected global alternative investment manager as a Vendor Operations Analyst, where you will thrive in a collaborative and supportive team culture that values professionalism, humility, and continuous improvement. Enjoy a competitive salary, hybrid working environment, and generous annual leave while gaining exposure to financial markets and vendor management, all within a company committed to your long-term career growth and operational excellence.

DonePlus

Contact Details:

DonePlus Recruitment Team

We think you need these skills to ace Hybrid London: Financial Data & Vendor Analyst

Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Python
Data Engineering