Research & Quantitative Analyst Intern

About this role

About the role: - Conduct research and analysis on mutual funds, portfolio construction strategies, and investment risk metrics - Build and test quantitative models to evaluate trading and investment hypotheses - Work with financial datasets using Python libraries including Pandas and NumPy - Create data visualizations to communicate findings and insights - Support the development of analytical tools and frameworks What you'll work on: - Financial data analysis and interpretation across multiple asset classes - Backtesting investment strategies against historical market data - Building dashboards and reports to track portfolio performance and risk - Collaborating with the research team on ongoing market analysis projects What we're looking for: - Advanced proficiency in Python programming with hands-on experience in Pandas, NumPy, and financial data workflows - Strong grasp of mutual fund structures, portfolio theory, and investment risk measurement - Demonstrated ability in quantitative modeling, statistical analysis, and data visualization - Student currently enrolled at a top-tier college or premier institution - Excellent analytical thinking and capacity to break down complex problems - Familiarity with APIs and SQL is a plus - Strong academic record and solid technical foundation