Junior Analyst - AI Solutions, R&D & Coding

StepStone Group • San Diego, CA

3d • Hybrid

About The Position

As a Junior Analyst on the AI Initiatives team, you will support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This is an early-career role ideal for someone who enjoys hands-on data work, problem-solving, and learning how AI can be applied in private-markets investing. You will be instrumental in the analytical core of the team, ensuring our AI/ML models are accurate, efficient, and deliver maximum insight.

Requirements

• Bachelor's or Master's degree in a quantitative discipline (e.g., Finance, Economics, Statistics, Mathematics, Computer Science, Data Science) or related field
• 0-2 years of relevant experience (e.g., internships, research, coding projects)
• Foundational proficiency in Python
• Familiarity with Excel, Microsoft Apps, and Git
• Strong attention to detail, ability to critically check work, and commitment to data integrity
• Solid written and verbal communication skills; comfortable translating technical concepts for non-technical stakeholders
• Proactive, curious, collaborative mindset; ability to operate in a fast-paced environment and support team goals
• Willingness to learn and grow, asking questions and taking ownership of tasks
• Candidates must be at least 18 years old to apply.

Nice To Haves

• Coursework or project experience in machine learning, statistics, or data modelling
• Prior internship or project experience in finance, consulting or data analytics
• Basic understanding of private markets (private equity, infrastructure, secondaries) and investment terminology

Responsibilities

• Assist in running, analyzing, and improving the performance of existing AI/ML pipelines
• Assist in complex data structuring challenges by applying cleaning and transformation techniques across heterogeneous inputs, including large-scale database extracts (SQL), proprietary documents, and legacy data in Excel, to ensure maximum data integrity for AI initiatives
• Design and execute backtests and scenario analyses based on senior team hypotheses to stress-test model robustness and quantify potential investment impact
• Collaborate closely with the engineering team by testing the integration of model outputs into internal tools. Document specific data and format requirements necessary for operationalizing new AI features
• Actively seek opportunities to streamline workflow efficiency and reduce latency in the AI pipeline, taking the lead on automating key analytical and reporting components
• Write sophisticated SQL queries to extract

Benefits

• Employment Resource Groups
• mentorship programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level