Junior Analyst - AI Solutions, R&D & Coding

Position Overview
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. The term of this role is for 16 weeks with the possibility of extending and/or transitioning into a full-time role.

Key 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 impactIntegration 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 

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

Nice-to-Have Skills

• 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

Pay Rate: $30.00/Hour

The salary range 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 range does not include any benefits or other forms of possible compensation that may be available to employees.