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Tier-1 brand and metro location increase competition, while niche private-markets specialization narrows the qualified pool.
Requires private-markets fund structures, fund accounting reconciliation, and performance methodology, limiting cross-industry transferability.
Explicit 7–10 years, mandatory private markets performance experience, and advanced Python/SQL requirements make screening stringent.
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Own and maintain performance calculation logic and methodologies for fund, deal, and investor-level analytics across multiple asset classes, including private equity, credit, and infrastructure.
Lead a team of approximately three analysts to build, test, and automate performance models and reporting for internal and senior stakeholders, ensuring data integrity and reconciliation.
Serve as the primary performance analytics expert for the firm, translating needs into analytical solutions and collaborating cross-functionally with Data Engineering, Fund Accounting, and Investor Relations.
7 to 10 years of experience in performance analytics, investment analytics, or a closely related quantitative function in asset management.
Direct private markets experience required, with understanding of fund structures, capital calls, distributions, valuations, and fee/carry mechanics.
Advanced Python and SQL skills for building and maintaining production-quality analytical code and data models.
Work arrangement includes 4 days in-office in Gurugram, 1 day flexible; notice period not explicitly mentioned.
Experienced practitioner capable of detailed hands-on modeling and coding as well as clear communication of complex analytics to senior and non-technical stakeholders.
Experience working across multiple private market asset classes, with strong expertise in private credit analytics preferred.
Demonstrated leadership in mentoring junior analysts and setting technical standards in performance measurement and reporting.