We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.
The team you'll join
StepStone's AI Initiatives team focuses on harnessing AI and machine learning to transform private markets investment research. The team spans the entire AI project lifecycle—from identifying high-impact use cases to deploying production-ready solutions—integrating cutting-edge technologies like LLMs, NLP, and advanced quantitative methods to drive strategic outcomes across portfolio analysis, investment performance, and risk assessment.
About the role
StepStone is seeking highly analytical and technically skilled interns to join the AI Initiatives team. This role is best suited for candidates who combine strong Python and quantitative skills with hands-on experience in LLM application development. Interns will work on production-oriented projects involving LLM pipeline design, structured data extraction, and quantitative modeling to support investment research.
We are looking for team players with a collaborative mindset and a strong work ethic—candidates who take ownership of their work but remain open to feedback, eager to learn from others, and committed to collective success. A low-ego, problem-solving approach is essential for success in this role.
What you'll do
Interns will design, build, and iterate on LLM-powered solutions—including structured data extraction pipelines, RAG systems, and AI-assisted investment research tools. You’ll work hands-on with large financial datasets, applying quantitative modeling and statistical analysis to support investment performance research across StepStone’s private markets portfolio.
Key responsibilities
- Design and iterate on LLM-powered pipelines for document processing tasks such as structured data extraction, RAG system design, prompt engineering, and LLM-output evaluation.
- Build and optimize quantitative models and end-to-end data pipelines using Python, and SQL for large-scale financial data extraction and transformation.
- Analyze large financial datasets and apply quantitative modeling to surface investment insights.
- Document technical findings, model design decisions, and pipeline architecture; communicate results clearly to both technical teammates and non-technical investment stakeholders.
What we're looking for
- Pursuing a Ph.D. in Mathematics, Physics, Econometrics, Statistics, Engineering, or a related quantitative field.
- Ability to work in-person in our La Jolla during the 2027 summer intern program and work part time remotely during the 2028 Fall semester.
- Strong Python coding skills with experience in data pipelines and quantitative modeling; SQL proficiency required, with demonstrated ability to work with large, messy real-world datasets.
- Experience or coursework in AI/ML (LLMs, NLP, data retrieval, vector embeddings) is highly preferred.
- Strong problem-solving skills with a detail-oriented, hands-on approach to work.
- Team-oriented and adaptable—able to balance independent work with collaborative projects.
- Open to feedback and continuous improvement, with a strong intellectual curiosity.
- Familiarity with cloud data platforms (e.g. Snowflake, Azure), vector databases, or workflow orchestration tools (e.g. Airflow) is a plus.
- Willingness to contribute at all levels—whether tackling complex modeling or assisting with data prep, no task is too small.
Why join us?
At StepStone, we foster a supportive and inclusive team culture where collaboration and learning are the core of what we do. Our collegial atmosphere encourages teamwork, mentorship, and professional development. This summer internship is a great opportunity to gain practical experience and develop critical skills that will help you launch a successful career in private markets.
Click here to learn more about the intern experience.
Salary: $30 / hour
The salary is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary does not include any benefits or other forms of possible compensation that may be available to employees.
#LI-Hybrid
At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.
As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.
Candidates must be at least 18 years old to apply.
Developing People at StepStone
Skills Required
- Pursuing a Ph.D. in Mathematics, Physics, Econometrics, Statistics, Engineering, or related quantitative field.
- Ability to work in-person in La Jolla during the 2027 summer intern program and part-time remotely in Fall 2028.
- Strong Python coding skills with experience in data pipelines and quantitative modeling.
- SQL proficiency and demonstrated ability to work with large, messy real-world datasets.
- Experience or coursework in AI/ML (LLMs, NLP, data retrieval, vector embeddings).
- Strong problem-solving skills; detail-oriented, hands-on approach.
- Team-oriented, adaptable, open to feedback, and intellectually curious.
- Familiarity with cloud data platforms (e.g., Snowflake, Azure), vector databases, or workflow orchestration tools (e.g., Airflow).
- Willingness to contribute at all levels including data preparation and complex modeling tasks.
StepStone Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about StepStone Group and has not been reviewed or approved by StepStone Group.
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Healthcare Strength — Health coverage is described as generous with multiple plan options, and in some cases employee‑only premiums are fully paid. Feedback suggests wellness resources and plan choice enhance the overall value of the package.
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Retirement Support — Retirement offerings include a 401(k) program that is viewed favorably. Feedback suggests long‑term incentive elements complement core retirement benefits.
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Parental & Family Support — Parental support includes leave coaching, paid parental leave, and resources for new parents alongside related travel and logistical supports. Feedback suggests these policies are a meaningful part of the benefits package.
StepStone Group Insights
What We Do
StepStone Group (Nasdaq: STEP) is a global private markets investment firm focused on providing customized investment solutions and advisory and data services to our clients. StepStone’s clients include some of the world’s largest public and private defined benefit and defined contribution pension funds, sovereign wealth funds and insurance companies, as well as prominent endowments, foundations, family offices and private wealth clients, which include high-net-worth and mass affluent individuals.StepStone partners with its clients to develop and build private markets portfolios designed to meet their specific objectives across the private equity, infrastructure, private debt and real estate asset classes.
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