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.

Domain Knowledge & Skills

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 is preferred.

Requirements

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.

Vereiste vaardigheden

Financial document processing and analysis (capital calls, distributions, financial statements)Document retrieval and metadata tagging from GP portals and repositoriesData extraction, standardization, and validation from private equity documentsAccounting classification and fund/portfolio investment breakout identificationData quality checks, exception resolution, and adherence to data standardsRoutine reporting and basic trend analysisData cleansing and improving dataset consistency and accuracyBasic SQL for data tasks and queriesBasic Python for data-related tasksMS Office proficiency (Excel, Word, PowerPoint)Understanding of basic accounting principles (GAAP)Exposure to automation, Lean methodologies, and GenAI toolsProcess documentation for auditability and reproducibilityWritten and verbal communication in EnglishTeam collaboration and delivering under tight deadlines

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