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Seeking a Machine Learning Engineer to apply AI technologies in high frequency trading, focusing on automation and collaboration with AI research.

The role involves developing flow datasets, integrating AI, releasing production code, and troubleshooting issues, while collaborating with researchers.

The Data Scientist will develop models and algorithms for data insights, design analytics platforms, automate pipelines, and collaborate with stakeholders to create scalable data solutions.

Support trade processing, reconciliation, and reporting across various financial products. Coordinate with investment teams, ensure timely settlements, and improve operational efficiency through automation and metrics reporting.

The role involves managing private credit transactions, developing workflows, and resolving trade discrepancies while ensuring accurate funding and cash flow operations.

The Quantitative Developer will design and develop software for trading and research, improve data tools, and manage the CI/CD pipeline.

Design and maintain React and TypeScript applications for trading platforms, focusing on performance, testing, and collaboration with stakeholders. Mentor teammates and uphold engineering best practices.

The role involves conducting research to develop systematic macro strategies and signals focusing on market microstructure for trading. Responsibilities include feature engineering, modeling, backtesting, and improving trading environments.

The Systems Analyst will implement and support Workday Financials and Adaptive Planning, enhance workflows, develop financial models, and integrate systems while partnering with finance stakeholders.

The role involves managing onboarding of trading teams, project lifecycle management, educating PM teams, and supporting operational procedures.