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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.

Develop macro trading strategies, conduct research on market inefficiencies, and collaborate on research initiatives.

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

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.

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

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 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 Risk Manager will oversee gas and power trading risks, develop risk management frameworks, and mentor quantitative analysts while ensuring efficient risk-taking and capital allocation.

The analyst refines product offerings, contributes to research, assists with workflow, and collaborates with PMs and analysts on model needs.

The Reference Data Engineer will develop and maintain software applications using .NET Full Stack and Python, manage CI/CD pipelines, troubleshoot defects, and collaborate within teams.