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Tier-1 brand plus metro location increase candidate competition despite niche private-markets specialization.
Requires specialized private-markets performance methodology and fund accounting experience, limiting cross-industry transferability.
Explicit 7–10 years, mandatory private-markets experience, and required advanced Python/SQL create stringent filters.
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Own the design, maintenance, and documentation of performance calculation methodologies (IRR, MOIC, TVPI, DPI, etc.) across private equity, credit, and other asset classes.
Lead and develop a team of ~3 analysts while producing and validating multi-level fund, deal, and investor performance analytics and reports for investment and senior management stakeholders.
Automate performance reporting and partner cross-functionally to ensure data integrity, reconciliation, and scalable analytics solutions.
7 to 10 years of experience in performance analytics or investment analytics with substantial private markets exposure.
Direct experience with private markets fund structures, capital calls, distributions, valuations, fees, and carry mechanics.
Advanced proficiency in Python and SQL for model building, testing, and maintenance.
Work Experience Required: 7 to 10 years in relevant quantitative roles within asset management.
Experienced practitioner balancing hands-on coding/modeling with leadership of a small analytics team in a high-complexity environment.
Strong domain expertise across multiple private markets asset classes including private equity, credit (preferably private credit), real assets, and infrastructure.
Comfortable engaging senior stakeholders by translating complex performance results into clear insights and managing cross-functional partnerships.