Andrew McCarthy

Bachelor of Science

Double Major in Finance and Computer Science + Mathematics

• GPA: 3.77
• Relevant Coursework: Introduction to Machine Learning Theory | Linear Algebra | Financial Mathematics | AI and Society | Logic and Discrete Mathematics | Data Structures and Algorithms | Probability and Statistics for Engineering

Summer School Program

• Coursework: Applications of Machine Learning | Fixed Income Securities, Debt Markets and the Macro Economy

Credit Risk Analyst Summer Intern

• Analyzed performance of investment strategies within $94 billion portfolio using Python, Bloomberg Terminal, and Excel to evaluate risk-adjusted returns and dispersion
• Developed automated web scraper and user interface to extract collateral data for 500+ commercial mortgage-backed securities, reducing data collection time for traders and analysts from minutes per security to seconds for bulk retrieval across entire CMBS portfolio
• Collaborated with portfolio managers on data center asset-backed securities research, providing market insights and contributing analytical content for webcast announcing new ABS ETF launch

M&A Summer Intern

• Conducted in-depth research and financial analysis on target firms, contributing comprehensive reports that informed investment decisions and strategy development
• Accompanied the team to a management presentation, preparing insightful questions that enhanced the depth of discussion and ensured comprehensive due diligence during the investment evaluation

• Python, SQL, Machine Learning, Web Scraping, Excel, Bloomberg, Financial Modeling, Word, PowerPoint, C, Rust, Swift, TypeScript, React, CSS, Git, Zsh, PowerShell

• Create automated context pipeline that provides LLMs selective access to personal data and project notes, enabling targeted recommendations and project guidance based on relevant context
• Develop a suite of Model Context Protocol (MCP)-compatible tools for workflow automation, including intelligent task prioritization, automated website design iteration, slideshow creation, note querying, and a recommendation engine.

CQA Investment Challenge Team Member

• Develop and implement mean reversion and trend following algorithms in Python, collaborating with 5-person team to conduct statistical analysis and backtest strategies for identifying market inefficiencies
• Manage $2M long/short portfolio while maintaining strict position limits, dollar neutrality, and diversification compliance
• Advanced to semi-finals in national competition, of 40+ teams competing primarily against graduate-level teams

Analyst

• Conduct fundamental research and financial modeling to evaluate equity investment opportunities for student-managed fund
• Present stock pitches and investment recommendations at bi-weekly fund meetings, informing portfolio allocation decisions

Vice President

• Vice President for a 40+ member program, leading the season end-to-end, assist managing a $50,000 budget, scheduling games, coordinating trips, and keeping the team in good standing with league and university requirements.
• Strengthened culture and accountability by setting standards and a clear communications cadence; worked with university administration and league officials to support team operations.