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Team Leader Sovereign Debt Data

Bloomberg


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 16 August 2026 (3 days ago)
Application Deadline: 16 November 2026
Vacancies: 1 Vacancy

Job Summary

Team Leader - Sovereign Debt Data
Location
London
Business Area
Data
Ref #
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock - from around the Data we are responsible for delivering this data news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems products and processes.

Our Team:

Sovereign debt is the cornerstone of global finance and the largest and most liquid asset class in fixed income. We work closely with Treasuries and Central Banks around the world to onboard their debt securities on Bloomberg in a timely manner ensuring excellent data quality. Information about the issuance of bonds by governments is time-sensitive and often market-moving and something a lot of our clients track carefully. By using technology domain expertise and relationships with Issuers we aim to be the best data and analytics platform in the market.

Whats the role

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock - from around the Data we are responsible for delivering this data news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems products and processes.

Well trust you to:

  • Recruit mentor and develop a team of domain experts and data management professionals who are experts in financial data data analysis and project management
  • Lead large-scale programs (technical and operational) with enterprise-wide impact through effective data governance cross-team organization dependency risk management and leadership engagement
  • Identify and implement improvements to schemas workflows automated data ingestion pipelines and operational processes
  • Ensure dataset consistency and quality while effectively collaborating with external and internal clients
  • Have strong technical skills (python UNIX GitHub data visualization tools) and proven ability in developing automated data ingestion pipelines
  • Participate in technical discussions and provide insights on system design code reviews and other relevant areas

Youll need to have:

  • 3 years of relevant professional experience with proven leadership skills
  • Experience in data management related role such as data quality data modelling and/or data engineering
  • Expert-level knowledge of data processing paradigms and associated tools and technologies
  • Experience leading product/technical strategies managing complex projects and leadership ability in change management and influencing others
  • Strong interpersonal skills allowing you to clearly communicate business needs and effectively engage with various stakeholders
  • Creative and flexible approach to problem solving aided by strong data analysis skills

Wed love to see:

  • Experience in semantic data modelling
  • Understanding of data governance and data management standard processes
  • Solid understanding of the multifaceted impact of third-party data

Does this sound like you

Apply if you think were a good match! Well get in touch to let you know what the next steps are.



If indicated please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Required Experience:

Manager


About Company

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Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more

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