About The Position

Aksia is an alternative assets specialist, providing bespoke investment solutions for institutional investors globally. Our business provides clients with advisory, investment management, and research services across private credit, private equity, real assets, and hedge funds. As of November 30, 2025, Aksia advises on over $329bn and manages $35bn of client capital. Aksia is seeking an experienced data science professional to lead the collection, organization and analysis of the large scale non-public data Aksia has collected and curated on private markets. This will include leading an existing team responsible for monitoring funds and their underlying investments, managers and companies across Aksia’s investing universe across private credit, private equity, real assets and real estate. The incumbent will translate imperfect, non-standardized datasets into actionable analyses and contribute to Aksia’s data-driven investment insights and theses. For Aksia’s direct investment discretionary portfolios, this person will oversee risk monitoring and our capture of deal characteristics. This position is ideally based in Aksia’s Chicago office, but could be based elsewhere, and will include regular interaction with global colleagues and clients, including managing a global team.

Requirements

  • 8 to 10+ years of private markets (private equity, private credit, real assets, or multi-asset alternatives) in a data, analytics, reporting, or risk leadership role.
  • Demonstrated track record building or leading a central reporting or data analytics function.
  • Proven experience leading and developing high-performing analytical or data teams.
  • Hands-on familiarity with private markets data structures.
  • Strong command of performance measurement and analytics for private markets (IRR, TVPI, DPI, PME, attribution frameworks, benchmark construction)
  • Deep experience with data and BI tooling, such as: SQL and modern data warehouses / lakes BI / visualization platforms (Power BI, Tableau, etc.). Coding (Python/R) for advanced analytics preferred.
  • Ability to balance and prioritize needs across investments, operations, risk, and distribution
  • High standards for accuracy, controls, and documentation, with a pragmatic approach to delivering iterative improvements.

Responsibilities

  • Lead and develop a global team of private markets risk and data analytics professionals, setting high analytical standards, review standards, and best practices.
  • Own the processing of large volumes of data to identify trends in performance; empowering investment recommendations, client reporting, and market-wide analysis.
  • Design, evolve and refine risk and analytics models and frameworks in partnership with asset class research teams, including anomaly detections, scenario analysis and stress testing.
  • Partner with Aksia’s clients to understand and address their risk and analytics needs.
  • Monitor areas of potential risk for Aksia’s products, including diversification testing, investment guidelines, and underperforming investments.
  • Engage with GPs to enhance data quality and coverage.
  • Collaborate with Technology and Data teams to further develop Aksia’s internal databases and analytics platforms on improved usage of collected data.
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