The program invites STEM students for a weekend to explore quantitative research and electronic trading, culminating in problem-solving activities and tech talks.

The role involves conducting research in deep learning to develop methodologies and insights for quantitative finance, focusing on collaborative problem-solving.

As a Quantitative Research Intern, you will develop predictive models, apply statistical methods, and analyze financial data. You'll gain experience in a collaborative environment without needing financial knowledge.

The Deep Learning Researcher will expand quantitative finance boundaries by developing advanced models and conducting systematic research.

Algorithmic Developers create high-performance trading strategies and systems, analyzing market dynamics and improving system performance in a collaborative, innovative environment.

Core Developers at Seven Research will optimize research and tech infrastructure, create scalable systems for trading, and conduct performance optimization research.

As a Core Developer Intern, you will optimize research infrastructure, build components for trading, design scalable systems, and conduct performance testing.

As an Algorithmic Developer Intern, you will develop high-performance trading strategies, perform rigorous analysis, and improve market dynamics within a collaborative team environment.

Quantitative Researchers develop predictive models, apply statistical methodologies to financial data, and design frameworks for risk and returns analysis.