Location
London
Business Area
Data
Ref #
10048904
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 world. In 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 The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.
What’s the Role? As a Data Management Professional within the Foundational Support team, you will support the creation of scalable, high quality data workflows that underpin the delivery of accurate, fit-for-purpose datasets. Your work ensures that our foundational data processes not only meet accuracy and timeliness expectations but also evolve to support innovation, automation, and new commercial opportunities aligned with Bloomberg’s strategic goals.
You will play a pivotal role in validating end-to-end workflow orchestration, enhancing incident response and prevention frameworks, and embedding knowledge management and governance practices to strengthen data quality, transparency, and scalability across the Company Financials ecosystem.
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We Would Love To See
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.
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