Program Analyst Jobs

About The Position

Requirements

• 1+ years of experience in an investment, quantitative, risk, or analytics role (buy-side, sell-side, research, or relevant internship experience considered).
• Foundational understanding of equity markets, portfolio construction concepts, and investment risk (e.g., factor risk, tracking error, diversification).
• Working programming ability in Python (preferred) and/or R, including experience with data libraries such as Pandas and NumPy; ability to write clean, testable, well-documented analysis code.
• Basic knowledge of statistics/econometrics (e.g., regression, hypothesis testing) and comfort working with large datasets.
• Bachelor’s degree in a quantitative or analytical discipline (Finance, Mathematics, Engineering, Computer Science, Economics, or related).

Nice To Haves

• Exposure to equity risk models (Axioma or similar), factor models, and/or attribution frameworks through coursework or on-the-job experience.
• Familiarity with version control (e.g., Git), APIs, and automated reporting workflows.
• Interest in machine learning techniques as applied to investments (not required).
• Progress toward CFA (or interest in pursuing) is a plus.

Responsibilities

• Assist with applying risk models (e.g., Axioma or similar) to monitor portfolio exposures, factor tilts, and risk concentrations; help prepare regular risk summaries and dashboards.
• Help run portfolio analytics to support portfolio construction discussions (e.g., tracking active risk, sector/style exposures, constraints monitoring) and assist with basic performance and attribution reporting.
• Support model development and research by cleaning/processing datasets, building repeatable analysis pipelines, and maintaining code and documentation. Contribute to factor research, backtests, and investment analytics under senior guidance.
• Prepare clear written summaries of analysis results for portfolio managers and investment stakeholders; explain methods and assumptions in a concise, practical way.
• Maintain a consistent focus on controls, data quality, model governance, and risk/compliance requirements.

Benefits

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching