Quantitative Researcher Intern - Equity Desk
About Astratinvest
Astratinvest is a SEBI-registered Category III Alternative Investment Fund (AIF) focused on building systematic, data-driven trading strategies for the Indian equity markets. We leverage quantitative finance, statistics, and technology to identify market inefficiencies and develop scalable, alpha-generating strategies through rigorous research and disciplined execution.
Role Overview
We are looking for highly motivated students with a strong interest in quantitative finance, mathematics, statistics, machine learning, and financial markets to join our Equity Desk. As a Quantitative Researcher Intern, you will work alongside experienced researchers and portfolio managers to develop, test, and refine systematic trading strategies while gaining hands-on exposure to real-world quantitative research.
What You'll Do
• Conduct quantitative research to identify alpha opportunities and assist in developing systematic long-short equity trading strategies using statistical modelling, factor research, and data-driven techniques.
• Analyse large-scale financial and alternative datasets to uncover predictive signals, market inefficiencies, and actionable trading insights across the Indian equity markets.
• Assist in designing, implementing, and validating quantitative models for alpha generation, portfolio construction, risk management, and execution optimization using statistical and machine learning techniques.
• Perform feature engineering, hypothesis testing, and rigorous back testing to evaluate trading hypotheses, assess strategy robustness, and measure performance across different market regimes.
• Monitor strategy performance, evaluate model stability, and contribute to refining quantitative models in response to evolving market conditions.
• Collaborate with portfolio managers and fellow researchers to translate research findings into deployable trading strategies and enhance the firm's systematic trading framework.
Required Qualifications
• Pursuing or recently completed a bachelor’s or master’s degree in computer science, Mathematics, Statistics, Economics, Finance, Engineering, or another quantitative discipline.
• Strong foundation in probability, statistics, stochastic calculus, linear algebra, and optimization.
• Good understanding of machine learning algorithms, statistical modelling, and data analysis techniques.
• Proficiency in Python and familiarity with libraries such as NumPy, Pandas, SciPy, and scikit-learn.
• Working knowledge of C++.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work with large datasets and conduct independent quantitative research.
• Excellent communication skills, attention to detail, and a willingness to learn.
What You'll Gain
• Hands-on experience working on real-world quantitative research problems.
• Mentorship from experienced quantitative researchers and portfolio managers.
• Exposure to systematic trading, quantitative model development, and portfolio construction.
• Opportunity to contribute to production-grade research and trading strategies.