Team Leader - Sustainable Finance - Data & Scores
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 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.
Our Team:
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.
What's the role?
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.
We’ll trust you to:
- Lead and mentor a team of data management professionals and ESG industry specialists
- Lead all aspects of the end-to-end lifecycle of environmental and social data collection, processing, and scoring in addition to developing and implementing data governance protocols
- Coordinate cross-functional projects with internal and external partners, including sustainability experts, tech teams, and regulatory leads
- Ensure accuracy, consistency, and compliance of data sources with industry standards (e.g., GRI, SASB, TCFD, SFDR)
- Integrate both structured and unstructured data from trusted sources
- Design and evolve scoring frameworks for environmental and social indicators (e.g., carbon emissions, water use, labor practices)
- Stay current with regulatory developments, industry standard methodologies, and emerging data trends
- Collaborate with your team and partners to improve scoring models with automation and predictive analytics
- Present findings and recommendations to senior leadership and internal partners
- Showcase clear progress with clear critical metrics
- Partner with Product and Engineering to ensure deliverables are well understood, and align with the overall business goals
You’ll need to have:
- 3+ years of relevant leadership experience or strong relevant experience as an individual contributor with relevant domain knowledge within ESG*
- Proven experience in data management roles such as Data Ownership, Data Modeling, Data Quality and/or Data Engineering
- Strategic vision to align your team's goals while providing outstanding service to business and other internal/external clients
- Experience implementing a product strategy which delivers on that vision
- Experience working with large datasets and the ability to quantify industry trends
- Proven track record establishing credibility and building influential relationships with team and external partners
- Knowledge of how ESG data is used by financial market players
- Ability to use qualitative and quantitative evidence to drive decisions
- Strong interpersonal skills to communicate business needs and operational strategies effectively
- Creative and flexible problem-solving skills, with proficiency in tools like Python, SQL, and Tableau
We’d love to see:
- Master’s degree or equivalent in a relevant field
- Experience with Bloomberg ESG products, Bloomberg terminal, and data workflows
- Understanding of data governance processes
- Knowledge of how the Data department fits into Bloomberg organization
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