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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.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

The Senior Business Analyst will manage onboarding of trading teams, lead project rollouts, provide operational support, and ensure compliance with procedures and regulations.

Provide accounting and administrative support for market data spend: reconcile invoices, maintain inventory in Optimize SPEND, manage vendor relationships and procurement, support monthly close, budgeting, reporting, and process automation initiatives.

Provide technical application support, automate processes, troubleshoot issues, collaborate with teams, and maintain documentation for software applications.

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

The Product Strategist collaborates with investment professionals to enhance team infrastructure, educates users on platform capabilities, analyzes feedback for improvements, and drives innovation within the firm.

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.