S&P Global-posted 11 days ago
Full-time • Mid Level
New York, NY
5,001-10,000 employees
Administrative and Support Services

As a Private Market and Thematic Indices data owner within the Global Index Management & Production Group (IMPG), you will be responsible for preparing, validating, and ensuring the accuracy of private equity, venture capital, private debt, and real asset data ahead of scheduled index rebalances. You will work with various datasets that include valuations, holdings, and transaction records, applying rigorous validation checks against trusted reference sources.  This position is part of the Data Excellence - Thematics group, which focuses on a wide array of datasets used for the maintenance and rebalancings for S&P Thematic indices. As the key point of accountability for private market and thematic data quality, you will work closely with internal and external data providers to ensure our data mastering processes deliver trusted information for rebalances, analytics, reporting, and decision-making. The Data Owner is responsible for the onboarding, management and quality of a variety of thematic related data items used for the production and maintenance of S&P Dow Jones-branded indices. The successful candidate will be expected to set the standard in carrying out tasks associated with the management of thematic and private market data used for the production and maintenance of indices, setting an example for more junior analysts to follow. Additionally, the data owner is responsible for a wide range of data points across global markets and may be required to make presentations to Index Committees on matters impacting the maintenance and particularly the rebalancing of S&P DJI global indices, making in-depth knowledge of their product line essential. Own the private market data pipeline that powers investment analytics, portfolio monitoring, and strategic decision-making. Develop deep expertise in sourcing, validating, and mastering data from multiple internal and external sources. Collaborate with R&D, Operations and Technology to enhance data quality, structure, and usability. Influence data standards and governance frameworks used firmwide across private equity and thematic data. Gain end-to-end exposure to the private markets and thematic data lifecycle from ingestion and reconciliation through to golden source mastering and reporting. Shape and optimize validation processes that directly affect index rebalances. Build a career at the intersection of private markets, data operations, and data governance in a high-impact, visible role.

  • Data Ownership & Stewardship
  • Act as the primary owner for private market investment datasets (fund, company, asset-level) and thematics data(classification, score-based) across the data lifecycle.
  • Define, maintain, and enforce data standards, taxonomies, and hierarchies (e.g., entity, instrument, deal structures).
  • Oversee golden source mastering processes to ensure a single version of truth for private market data.
  • Data Validation & Quality Control
  • Develop and execute robust validation rules for completeness, accuracy, and timeliness of data from internal and external sources.
  • Perform data reconciliation across multiple sources (administrators, managers, custodians, market data vendors).
  • Investigate and resolve data exceptions in coordination with operations and investment teams.
  • Process & Governance
  • Collaborate with data automation teams to design automated validation and mastering workflows.
  • Maintain detailed data dictionaries, lineage, and governance documentation for private market and thematic datasets.
  • Contribute to data governance forums and enforce compliance with data policies and controls.
  • Stakeholder Engagement
  • Serve as the subject matter expert (SME) for private market data and thematics data structure, sourcing, and usage.
  • Partner with Research & Design, Product and Operations teams to ensure data meets business needs.
  • Liaise with external vendors and data providers to manage SLAs, and data delivery standards.
  • Bachelor's Degree
  • A demonstrable understanding of global financial markets
  • Self-starter with good problem-solving skills
  • Good time management skills. Must be able to work independently on multiple projects with minimal direction or supervision.
  • Must be able to demonstrate excellent analytical and quantitative capabilities to solve original, non-routine problems in a timely and insightful manner
  • Proficient in Excel, Power Point and other MS Office applications.
  • Advanced degree in business, finance or any other equivalent discipline would be preferred, and / or progression in a financial qualification (e.g. CFA). Minimum of 3-4 years of professional experience handling financial data, including but not limited to Company Fundamentals/ESG,
  • Intermediate knowledge of Python/SQL/Power Automate is a pre-requisite as work would involve doing data transformations/process automation/data analysis and smart QA.
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service