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The Macro Quantitative Researcher will engage in innovative research to develop systematic trading signals for global macro markets. Responsibilities include feature engineering, model development, strategy backtesting, and managing the research pipeline. Collaboration with a skilled team and continuous improvement of trading environments are key aspects of the role.

The Equity Quantitative Researcher will conduct comprehensive research to identify systematic anomalies in the equity market. Responsibilities include generating alpha ideas, processing data, backtesting strategies, and implementing them in a production environment while maintaining portfolio trading operations.

The Quantitative Software Developer will design and build quantitative futures and FX portfolios focused on mid-frequency signals. Responsibilities include developing trading architecture, maintaining platform stability, and troubleshooting systems. The role requires strong programming skills, particularly in Python, and the ability to work in a collaborative, fast-paced environment.

Develop in-house trading strategies and conduct quantitative research on market microstructure. Optimize trade execution through predictive models while collaborating with cross-functional teams on trading solutions. Stay updated on market structure changes.

The Quantitative Developer will enhance the research infrastructure for the PCA team, focusing on data access, risk modeling, and backtesting components, while collaborating with quant researchers and technology teams to automate analytics and tools.

Entry-Level Quantitative Researchers at Cubist are responsible for rigorous quantitative research focusing on predictive models. They will conduct alpha signal research, manage the research process, and build tools to aid a collaborative research group. Training in systematic trading will be provided to successful candidates.

The role involves building a research platform and implementing trading strategies in collaboration with the research team. Responsibilities include developing data pipelines and post-trading analytics tools, taking ownership of automated reconciliation processes, and working on greenfield projects critical to team success.