About the Opportunity
We are partnering with a premier, globally recognized systematic hedge fund that leverages advanced statistical algorithms and machine learning to trade equities, futures, and other liquid markets worldwide.
Our client processes massive, diverse datasets to develop intricate feature sets, extract powerful trading signals, and construct highly optimized, market-neutral portfolios. We are currently seeking elite Data Scientists, Physicists, Engineers, Economists, and Programmers to join a world-class Data and Strategy Research team. In this role, you will build the next generation of predictive machine learning models to forecast the future movements of liquid financial assets across equities, commodities, and event-driven domains.

What You Will Do

Model Development: Design, implement, and optimize sophisticated machine learning models to predict liquid asset movements using an extensive library of trading signals and vast financial datasets.
Alpha Generation: Parse and analyze massive datasets to uncover actionable,



high-quality alpha signals and build systematic trading strategies from scratch.
Academic Application: Investigate, test, and adapt state-of-the-art academic research in quantitative finance and machine learning into production-ready trading models.
Continuous Innovation: Improve existing legacy models by integrating novel alternative data sources and advanced computational techniques to boost overall performance, accuracy, and scalability.
Team-oriented Research: Work seamlessly with a team of elite quantitative researchers to conduct rigorous experiments, back-test hypotheses, and refine strategies through intensive simulation and data analysis.

What We Are Looking For

Education: BS, MS, or PhD in a highly quantitative STEM field (Computer Science, Mathematics, Physics, Engineering, Statistics, Economics, etc.).
Experience: 2+ years of hands-on experience working within a systematic trading, quantitative finance, or hedge fund

📌 Quantitative Researcher (Delhi)
🏢 Corvi Technologies
📍 Delhi