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A leading company in financial data solutions is seeking a Team Leader for Sustainable Finance. This role involves overseeing a team dedicated to developing and managing environmental and social data methodologies. The ideal candidate will have extensive experience in data management and a strategic vision for ESG initiatives.
Team Leader - Sustainable Finance - Data & Scores
Location
London
Business Area
Data
Ref #
10043811
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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
Using innovative, collaborative, and client-focused approaches to data extraction, aggregation, and standardization, the Sustainable Finance Data team is responsible for enhancing ESG content for the Bloomberg Terminal and Enterprise products. This includes company-reported and normalized metrics, industry-specific metrics, proprietary ESG scores, climate and regulatory data. Our Sustainable Finance Data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of sustainable finance products.
We are seeking an experienced and proactive Team Leader to lead the development, management, and delivery of environmental and social data and scoring methodologies. This role will oversee a team of analysts and data scientists, driving the creation of high-quality, robust, and transparent datasets and scorecards to inform ESG strategy, risk management, and stakeholder reporting. You will lead by example in understanding data management practices and the broader environment in which the team operates. We expect you to bring a strategic approach and guide the team to find opportunities for alignment and improve processes closely with teams across Data, as well as partners across Product, Engineering and Research.