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Develop software solutions for trade processing and fund accounting, manage application upgrades, and collaborate with business stakeholders. Focus on .Net technologies and agile methodologies.

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.

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.

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

The associate will manage P&L reconciliation and analysis for trading portfolios, collaborate with teams to resolve variances, produce reports, and drive automation while mentoring junior staff.