About The Position

StepStone is a global private markets specialist that provides tailored investment solutions, advisory services, and data-driven insights to investors worldwide. The Portfolio Management team at StepStone acts as a central resource for the firm's evergreen fund clients, managing portfolio construction, investment decision-making, and commitment pacing. This team collaborates directly with clients of StepStone's evergreen accounts to build and maintain private markets portfolios, handle pacing requests, and translate investment strategy into actionable allocation decisions. Utilizing StepStone's proprietary data advantage, the team employs quantitative methods for informed investment decisions across various asset classes, including buyouts, secondaries, and real assets. They also contribute to valuation processes for multiple private market asset classes, ensuring analytical consistency and accuracy. Furthermore, the team is involved in automating and improving firm-wide workflows by developing Python and Excel-based tools to enhance efficiency and operational value.

Requirements

  • Pursuing a Bachelor’s or Master’s degree in Finance, Economics, Business Analytics, or a related field
  • Undergraduate student graduating anywhere from December 2027 through June 2028
  • Previous internship or work experience in finance, consulting, or data analysis is strongly preferred
  • Solid understanding of Python, R, or VBA for data analysis
  • Familiarity with financial markets, investment concepts, and private markets is a plus
  • Strong attention to detail and ability to critically check work while maintaining a humble, learning-focused approach
  • Team-oriented mindset—able to take feedback constructively, collaborate effectively, and contribute to shared goals
  • Proficiency in Excel; experience with SQL, Power BI, or data visualization tools is a plus
  • Willingness to roll up sleeves and take initiative in a fast-paced environment
  • Candidates must be at least 18 years old to apply

Nice To Haves

  • Familiarity with financial markets, investment concepts, and private markets is a plus
  • Experience with SQL, Power BI, or data visualization tools is a plus

Responsibilities

  • Work with private markets data, collecting and reconciling information from internal sources (MySQL, PDFs and Excel files)
  • Develop and test financial models to support investment decision-making (Python, R, VBA, Power Query)
  • Conduct data-driven analyses to identify trends in private markets
  • Support portfolio management efforts through ad hoc analysis and research projects
  • Communicate insights and findings to internal teams and produce written documentation of data, models, and code

Benefits

  • Mentorship programs
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