Investment Systems & Quant Research Intern

About the role

Build technology-driven systems for equity screening, stock selection, quantitative research, financial data monitoring, portfolio tracking, and risk management. Develop backtesting frameworks, alerts, and research tools using Python, APIs, databases, and AI/ML, working with the CIO to turn investment frameworks into scalable technology. The role seeks a student or recent graduate from a top engineering or technology institute with strong programming skills, especially in Python, and a strong interest in markets, investing, or trading. Candidates should be comfortable with data, APIs, and large datasets, understand basic financial markets and equity investing, and be curious about why strategies work; relevant projects or experience are a plus.