Junior Analyst - Portfolio Management

StepStone Group•San Diego, CA

3d•Hybrid

About The Position

StepStone is currently seeking candidates with strong analytical, coding, and business acumen for intern positions within the Portfolio Management team. This internship is ideal for candidates with a background in finance, economics, or related fields who also possess solid programming skills. Interns will gain hands-on experience in portfolio management, investment research, and data-driven decision-making in private markets. At StepStone, we value a team-first approach, a low-ego mindset, and intellectual curiosity. We are looking for candidates who are eager to learn, take ownership of their work, and contribute to a highly collaborative environment.

Requirements

Pursuing a Bachelor’s or Master’s degree in Finance, Economics, Business Analytics, or a related field.
Solid understanding of Python, R, or VBA for data analysis.
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.
Candidates must be at least 18 years old to apply.

Nice To Haves

Previous internship or work experience in finance, consulting, or data analysis is strongly preferred.
Familiarity with financial markets, investment concepts, and private markets is a plus.
experience with SQL, Power BI, or data visualization tools is a plus.
No task is too small—willingness to roll up sleeves and take initiative in a fast-paced environment.

Responsibilities

Work with private markets data, collecting and reconciling information from internal sources (MySQL, PDF’s, and Excel files).
Develop and test financial models to support investment decision-making (Python, R, VBA).
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.