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

Develop systematic trading models, conduct alpha idea generation, backtesting, and enhance trading environments while utilizing advanced quantitative methods.

The role focuses on conducting fundamental credit research, analyzing capital structures, developing investment views, and maintaining external relationships to identify investment opportunities.

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.

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

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.

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

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