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Lead efforts in sourcing and evaluating external quantitative investing strategies. Collaborate with internal teams and prepare reports for management.

Lead trading operations with a focus on global multi-asset trading, manage projects for performance optimization, and mentor the trading team.

The role involves developing trading signals using fundamental and machine learning principles, collaborating on predictive models, and optimizing data-based strategies.

Lead the design and development of AI and LLM-driven tools for a systematic hedge fund, collaborating with teams to enhance trading strategies.

As an Early Career Software Engineer, you'll develop low-latency trading systems and data pipelines, collaborating with engineers and researchers.

Lead the Futures Team, researching and trading systematic futures strategies. Identify useful data/signals, enhance trading platforms, manage risk, and align strategies with senior management.

As a Quantitative Researcher, you will design and optimize machine learning models to predict asset movements, collaborate on experiments, and implement cutting-edge research.

The Data Platform Engineer will architect data components, manage data feeds, ensure quality and reliability, and optimize data infrastructure for trading operations.

The Data Operations Engineer will monitor trading processes, enhance deployment pipelines, ensure quality control, and drive continuous improvement initiatives.

The Senior Quant Competition Manager will design and manage quantitative competitions for universities, collaborating with researchers to promote creativity and identify talent.