Quantitative Research Intern

About the Company

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches.

Responsibilities

• Clean, validate, and analyze diverse datasets to provide a reliable foundation for global equities alpha research
• Develop alpha factors with economic insights and statistical significance from multi-dimensional data
• Design rigorous backtesting frameworks for performance evaluation and robustness testing
• Assist in designing, testing, and evaluating quantitative models and strategies
• Communicate research findings clearly to team members

Requirements

• Bachelor’s, Master’s, or Ph.D. from a top-tier university in a quantitative field (Computer Science, Mathematics, Engineering, Physics, Statistics, Finance, Economics, or related)
• Strong programming skills in Python
• Experience with SQL, databases, and Linux environments
• Experience or coursework in quantitative research, data analysis, statistical modeling, or machine learning
• Ability to work with large datasets and apply statistical or machine learning techniques to financial data
• Strong analytical thinking, creativity, and attention to detail
• Excellent written and verbal communication skills