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Design and maintain ETL/ELT pipelines for financial data, optimize data processing, develop QC systems, and collaborate with researchers to enhance data quality.

The role involves researching and analyzing signals for trading strategies, optimizing risk-adjusted returns, and performing quantitative analyses on financial datasets to improve performance.

Develop and research cross-asset strategies, analyze large financial datasets, and implement systematic trading strategies while collaborating with trading and engineering teams.

The Quantitative Researcher will develop intraday trading signals, analyze market data, and work with trading teams to optimize strategies and performance.

The Quantitative Developer Intern will collaborate with data teams to develop data-related jobs, ensure data integrity, and assist in signal analysis frameworks.

The Quantitative Researcher develops and tests equity-specific alpha signals and systematic trading strategies while analyzing financial datasets for risk-adjusted performance.

Assist in developing automated trading systems, enhance technology platforms, and support data processing tools under supervision. Collaborate on code reviews and troubleshoot technology issues.

Assist in developing predictive models, reviewing investment strategies, data mining, monitoring risks, and collaborating with teams for model integration.

The Lead Infrastructure Engineer will architect and implement infrastructure solutions for trading and research, lead migrations, and optimize performance while mentoring a team.

Assist with daily trade tasks, maintain transaction records, support process improvements, and collaborate on new tools for performance tracking.