• Fresher: Postgraduate degree in Finance, Data Analytics, or related field
  (MBA (Finance), PGDM, or equivalent preferred).
• Excellent written and verbal communication skills in English.
• 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 needs. During peak business periods (such as quarter-end or year-end reporting), there may be a requirement to work extended hours or shift overlaps to meet delivery timeline
• Strong analytical mindset with attention to detail and problem-solving ability.
• Certification and 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.
• Good understanding of basic accounting principles (GAAP).
• Ability to work effectively in a team environment under stringent deadline.
• Proactive attitude with a willingness to learn, ask questions, and continuously improve.

• 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 raised through manual QC reviews and automated validation logs, and ensure 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 with team members to deliver individual and team targets with a strong focus on quality, accuracy, and timeliness.
• Participate in ad-hoc projects aligned to business expansion, data enhancement, or automation initiatives.

How To Apply For S&P Global Careers :