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
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 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
Required Knowledge, Skills, And Abilities
- 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.
Other Attributes
- 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.
Salary: $30 per 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.
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