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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
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 analyticsthrough innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. The Team:The Physical Assets Data Team maintains databases on renewable projects and their corresponding financing instruments and parties that cover financing deals including transactions for the development, refinancing or acquisition of clean energy assets. New investmentin renewable energy reached a record in 2023 and is a crucial component of the energy transition and the achievement of net-zero targets. The asset financing data is aggregated to create BloombergNEF flagship products like the Renewable Energy Investment Trackerand Energy Transition Investment Trends as well as monthly, quarterly, and annual league table reports published by the Data team. Whats the roleAs a Data Product Owner for the Asset Financing Dataset, youll help grow Bloombergs asset financing databases to further deliver an industry-leading data product offering. You will be responsible for developing essential elements of our data product, includingits data model, data pipelines, and data quality specifications. You will be expected to monitor market and industry trends to influence Bloombergs standard methodologies, tools, and technical infrastructure for data lifecycle management. You will engagewith clients to understand their business needs and partner with Engineering and Product teams to propose, develop, and implement solutions for our clients. You will also define the data strategy, analyze data gaps and opportunities, profile data content,and translate business needs into requirements for a data model. Youll collaborate closely with both our Data counterparts and the BloombergNEF Product team in Princeton, New York, London, and Asia. We trust you to: