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Tier-1 brand, metro location, and popular early-career data role increase applicant competition.
Medium: core data skills transferable, but private-equity fund accounting increases domain specificity.
Medium: postgraduate preference, domain knowledge, and basic SQL/Python required.
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Support end-to-end data lifecycle activities for Private Equity datasets, including sourcing, validation, enrichment, and data delivery under guidance.
Process and analyze financial documents such as capital calls, distributions, and financial statements from General/Limited Partners, ensuring data quality and adherence to standards.
Assist with process improvements, automation using basic SQL and Lean initiatives, and contribute to reporting and trend analysis for operational insights.
Postgraduate degree in Finance, Data Analytics, or related field (MBA Finance, PGDM, or equivalent preferred).
Strong written and verbal English communication skills.
Flexibility to work rotational shifts across Asia, EMEA, and US time zones including peak business periods requiring extended hours.
Work Experience Required: Not explicitly mentioned in the JD.
Early-career professional aiming to build deep expertise in Private Equity data and financial statements within a data operations environment.
Detail-oriented with strong analytical and problem-solving skills focused on data accuracy and operational discipline.
Comfortable working under guidance in a process-driven, compliance-focused global service delivery model with a focus on quality and timeliness.