Junior Analyst - AI Initiativees
StepStone Group is a global private markets specialist delivering tailored investment solutions and data-driven insights. The Junior Analyst on the AI Initiatives team will support the development and operationalization of AI-driven data pipelines, ensuring the accuracy and efficiency of AI/ML models for portfolio monitoring and private-markets analytics.
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
Skills
- 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
- 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
Company Overview
Company H1B Sponsorship