Junior AI Data Analyst — Pipelines & Private Markets

stepstone.fr; San Diego (CA); Hybrid; USD 34,000 - 45,000; Full time

Job summary

StepStone is seeking a Junior Analyst on the AI Initiatives team to support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This early-career role suits someone who enjoys hands-on data work, problem solving, and learning how AI can be applied in private markets investing.

You will contribute to model validation, data cleaning, backtesting, and integration testing with engineering, while improving

Qualifications

• 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.

Responsibilities

• Model Validation and Performance Tuning: 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.
• Backtesting and Scenario Analysis: Design and execute backtests and scenario analyses based on senior team hypotheses to stress-test model robustness and quantify potential investment impact.
• Integration Testing & Requirement Definition: 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.
• Process Automation and Efficiency: Actively seek opportunities to streamline workflow efficiency and reduce latency in the AI pipeline, taking the lead on automating key analytical and reporting components.
• Advanced Data Sourcing (SQL): Write sophisticated SQL queries to extract

Skills

Python

Education

Bachelor’s or Master’s degree in a quantitative discipline

Tools

Excel

Git

Microsoft Apps

Job description

StepStone is seeking a Junior Analyst on the AI Initiatives team to support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This early-career role suits someone who enjoys hands-on data work, problem solving, and learning how AI can be applied in private markets investing.

You will contribute to model validation, data cleaning, backtesting, and integration testing with engineering, while improving