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Tier-1 brand and metro location increase competition, but private-markets specialization reduces applicant density.
Role requires private-markets and deals expertise, limiting cross-industry transferability.
Minimum 18 months and private-markets research requirement with preferred SQL/Python increases filter strictness.
Conduct deep secondary market research and build structured intelligence on company profiles, ownership, investments, deals, valuations, and corporate events.
Analyze complex M&A transactions, investment rounds, ownership changes, and corporate restructuring, applying judgment in ambiguous cases.
Leverage AI-enabled research tools and collaborate across global data, product, and engineering teams to improve data quality, research productivity, and coverage of private market companies.
Minimum 18 months of relevant experience in research, financial/market data, private markets, deals, ownership, or business intelligence.
Post Graduate degree or BTech with excellent academic record.
Skills in Excel, Office 365, SharePoint; preferred knowledge of SQL and Python.
Work onsite at least 4 days a week as per hybrid work model requirements.
Experience combining primary-source research with analysis of ambiguous and conflicting private market data and announcements.
Comfortable working at the intersection of private markets domain expertise and AI-assisted research workflows.
Ability to manage and validate complex ownership and deal data with attention to data quality and collaboration across technical teams.