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S&P Global
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October 31, 2026
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The ESG Data Owner

London, England
Full-time
Onsite
Entry, Mid Level
S&P Dow Jones Indices, a division of S&P Global, is hiring an ESG Data Owner to manage the quality, governance, and delivery of ESG datasets used in equity and fixed income indices. The role coordinates with data operations, technology, index management, analytics, and vendors to onboard datasets, investigate data issues, and support reliable data use.
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Responsibilities

  • Manage ESG datasets across the data lifecycle, including ingestion, validation, quality review, documentation, and delivery for index use
  • Support the preparation and maintenance of ESG datasets such as GHG emissions, physical risk, ESG scores, and other sustainability-related data
  • Apply data standards, taxonomies, and governance controls to help maintain a consistent and trusted version of ESG data across index and analytics workflows
  • Design, run, and improve data quality checks to identify gaps, inconsistencies, outliers, and other data issues
  • Investigate and resolve data quality issues in collaboration with technology, operations, index management, and vendor teams
  • Help define data requirements for new or updated ESG data feeds, including field definitions, validation rules, lineage requirements, and operational handoff needs
  • Support the onboarding of new ESG datasets and help ensure they are integrated into existing systems and processes in a controlled and documented way
  • Maintain clear documentation of data sources, business rules, validation checks, known limitations, and data lineage
  • Act as a point of contact for internal ESG data questions, working with index managers and other teams to clarify data usage, resolve queries, and support methodology alignment
  • For complex data cases, prepare analysis and recommendations to support review by index managers, committees, or relevant internal stakeholders
  • Coordinate with ESG data vendors to clarify data definitions, delivery standards, issue resolution, and data changes
  • Stay informed on ESG market developments, data standards, and regulatory themes that may affect ESG data requirements
  • Prepare data analysis summaries, issue logs, and reporting materials to support internal reviews and stakeholder discussions
  • Support responses to client or stakeholder questions by providing accurate ESG data information through internal teams such as Client Services or Index Services

Qualification

Required

  • Bachelor's degree in Data Science, Finance, Economics, Mathematics, or a related field
  • 1–3 years of professional experience in data analysis, data management, ESG data, sustainability, indexing, or a similar financial or data-driven field
  • A foundational understanding of ESG frameworks, ratings methodologies, and sustainability data (e.g., GHG emissions, physical risk, ESG scores) and their application in financial indices
  • A foundational understanding of financial markets (equity & fixed income) and indexing concepts
  • Strong analytical and quantitative skills with the ability to work with large data sets
  • Proficiency in Python and SQL for data analysis, manipulation, and visualization with a willingness to further develop these skills in a financial data environment
  • Good written and verbal communication skills with the ability to explain complex topics clearly
  • Strong attention to detail and ability to manage multiple priorities and deadlines in a structured, process-driven environment
  • Ability to work collaboratively in a fast-paced, global environment

Preferred

  • Awareness of ESG-related regulatory frameworks (e.g., EU Taxonomy, SFDR, TCFD) and their implications for index construction and data requirements
  • Familiarity with ESG data providers (e.g., S&P Global Sustainable1, Sustainalytics, CDP, SBTi)
  • Experience in project management and implementing process improvements
  • Exposure to data governance frameworks, data lineage concepts, or master data management practices
  • Experience with data visualization tools (e.g., Tableau, Power BI) or cloud-based data platforms (Databricks)

Benefits

  • Health care coverage designed for the mind and body.
  • Generous time off.
  • Access to resources to grow your career and learn valuable new skills.
  • Retirement planning.
  • A continuing education program with a company-matched student loan contribution.
  • Financial wellness programs.
  • Benefits for employees’ partners and children.
  • Retail discounts.
  • Referral incentive awards.
S&P Global is a market intelligence company that provides financial information and data analytics services.
Glassdoor
4.0
Founded in 1860
New York, New York, USA
10001+ employees
https://www.spglobal.com