Process and analyze financial documents received from General/Limited Partners, including capital calls, distributions, financial statements, and schedules of investments.
Access GP portals and repositories to download, categorize, and tag fund-related documents with accurate metadata.
Extract, standardize, and validate data from Private Equity documents such as Partners’ Capital Account statements, cash flow statements, and investment schedules.
Identify appropriate accounting breakouts and classify data items related to fund-level investments and portfolio companies.
Perform data quality checks, resolve exceptions through manual QC reviews and automated validation logs, ensuring adherence to defined data standards.
Conduct routine reporting and basic trend analysis to support internal analytics and operational insights.
Support data cleansing initiatives to improve accuracy and consistency across datasets.
Assist with process improvement, Lean initiatives, and automation efforts, including basic SQL-driven data tasks.
Maintain clear documentation of data collection and validation processes for auditability and future reference.
Collaborate effectively with team members to deliver individual and team targets, emphasizing quality, accuracy, and timeliness.
Participate in ad-hoc projects aligned to business expansion, data enhancement, or automation initiatives.

Educational Background: At least a relevant academic degree in Finance, Analytics, or a related field
Professional Experience: 0–1 year of experience in Fund Administration, Private Equity Operations, or Financial Data Processing.
Domain Knowledge: Basic understanding of Private Equity / Real Estate / Alternative Investment operations, including fund accounting and investor reporting concepts (preferred).
General awareness of capital markets, alternative investments & Private Equity (preferred).
Good understanding of basic accounting principles (GAAP).
Technical Skills: Experience in MS Office (Excel, Word, PowerPoint).
Basic knowledge of SQL, Python.
Familiarity with BI tools is an advantage.
Exposure to automation, Lean methodologies, or GenAI tools is a plus.
Strong analytical mindset with keen attention to detail and robust problem-solving ability.
Excellent written and verbal communication skills in English.
Ability to work effectively in a team environment under stringent deadline pressure.
Proactive attitude with a demonstrated willingness to learn, ask questions, and continuously improve.

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.

Financial Data Researcher, Private Markets

Key skills