Quantitative Researcher Intern

About the Role

As a Quantitative Researcher Intern, you will work alongside our research team to develop and test systematic trading strategies. You'll have the opportunity to apply statistical and machine learning techniques to real financial data and contribute to research that drives investment decisions.

This is an excellent opportunity for students pursuing advanced degrees in quantitative fields who want hands-on experience in quantitative finance.

Responsibilities

• Conduct empirical research on factor-based investment strategies
• Develop and backtest quantitative models using Python and statistical tools
• Analyze large financial datasets to identify systematic patterns
• Collaborate with senior researchers on active research projects
• Present research findings to the investment team

Requirements

• Currently pursuing MS or PhD in Mathematics, Statistics, Physics, Computer Science, or related quantitative field
• Strong programming skills in Python; familiarity with pandas, numpy, and scikit-learn
• Solid foundation in statistics, probability theory, and linear algebra
• Excellent analytical and problem-solving abilities

Preferred Qualifications

• Experience with financial data and markets
• Familiarity with machine learning techniques
• Prior research experience in an academic or industry setting