The Team:

The Enterprise Data Organization (EDO) at S&P Global is a unified team focused on transforming our exceptional data assets.We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies ensuring efficient data governance and management.This approach allows us to quickly respond to market demands identify trends mitigate risks and unlock growth opportunities positioning us for innovation in GenAI and new data delivery channels ultimately meeting our clients evolving needs with agility and excellence.

Responsibilities and Impact

• 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.

What Were Looking For:

Basic Required Qualifications:

• Educational Background:At least a relevant academic degree in Finance Analytics or a related field

• Professional Experience:01 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.

• Shift & Work Schedule: this position operates under a global service delivery model and requires flexibility to work rotational shifts aligned to Asia EMEA and US business hours based on business peak business periods (e.g. quarter-end or year-end reporting) there may be a requirement for extended hours or shift overlaps to meet critical delivery timelines.