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The Machine Learning Researcher will build predictive models using deep learning, explore strategies to enhance portfolio performance, and update models based on research. They should have a strong foundation in ML with hands-on experience in relevant domains.

The Junior Machine Learning Researcher will develop predictive models and enhance model robustness using deep learning techniques on financial data, while staying updated on research.

Implement and maintain strategy models, improve backtesting frameworks, develop research toolchains, manage databases, and optimize strategy execution.

Monitor trading activities, execute orders, optimize trading processes, develop tools, and prepare reports while ensuring compliance with trading rules.

Assist senior quantitative researchers in designing quantitative strategies and analyzing large scale financial data for alpha patterns.

Support and enhance trading strategies, assist in quantitative research and development in various financial markets, and analyze large financial data for insights.

Analyze market and financial data using statistical methods to develop predictive trading models and strategies, covering all research and development phases.

The intern will design and implement low-latency trading platforms and a high-performance backtesting framework, focusing on C++ and cloud environments.

Design and build internal tools for middle-office functions, automate workflows, develop data pipelines, and ensure data quality and integrity.

Conduct statistical analysis on market data to create predictive trading models and strategies, encompassing research and development cycles in equity trading.