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Seeking quantitative analysts and software developers to conduct research, build technologies for trading, and expand systems to new markets.

The Quantitative Developer will enhance technology infrastructure for the PCA team, collaborating with researchers and developing analytical tools.

Develop and maintain systems for trading and simulations, automate research infrastructure, and troubleshoot any system issues.

The internship involves developing quantitative trading models, requiring strong analytical and programming skills in a fast-paced, research-driven environment.

Conduct independent quantitative finance research focusing on statistical models, manage data collection, analysis, and performance monitoring.

Conduct research to find systematic anomalies in equity markets, develop strategies, evaluate datasets, and manage portfolio trading.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.

Interns will process large datasets for model estimation, identify useful features for predictive modeling, and demonstrate strong analytical skills.

The role involves conducting analyses to enhance investment strategies, developing metrics for performance evaluation, and aiding portfolio decision-making.

Manage portfolio risk and oversee automated trading by developing and executing quantitative investment strategies. Lead a research team while enhancing models through rigorous analysis.