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The IT Operations Engineer provides essential services for client-focused technology operations, focusing on outstanding customer service through hands-on technical support and guidance. Responsibilities include resolving issues, client training, managing technology adoption, and maintaining relationships with service providers while ensuring a strong technology experience.
The Credit Research Analyst will conduct fundamental credit research and financial modeling to identify investment opportunities in liquid credit markets. Responsibilities include analyzing capital structures, monitoring positions, synthesizing market information, and engaging with external relationships to develop views on issuers.
The Quantitative Analyst will conduct detailed analysis on portfolios to identify strengths and weaknesses, develop new analytics, quantify market drivers, and communicate findings with the team and senior management. They will also contribute to a shared code base and research tools.
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.
As a Quantitative Researcher at Cubist, you will develop systematic trading models across various markets and contribute to alpha idea generation, backtesting, and portfolio optimization. Key responsibilities include evaluating datasets, improving existing strategies, and maintaining the trading environment.
Quantitative Researchers conduct financial research focusing on statistical and predictive models, managing the research process from methodology selection to performance monitoring.
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 candidate will develop and maintain a production trading system, work on enhancing monetization through research, and create technologies to improve research and trading productivity. The role requires collaborating with researchers to innovate tools for trading success.
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.
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