Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
Design, develop, and maintain high-performance trading systems and infrastructure to support systematic trading strategies
Develop and maintain robust data pipelines for real-time and historical market data, ensuring data integrity and accessibility
Conduct rigorous testing and validation of trading systems and data pipelines to ensure reliability and accuracy
Work closely with cross-functional teams – including researchers, traders, and technology – to align system capabilities with business needs
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
2+ years of experience in quantitative development, preferably within a trading or financial services environment
Proficiency in one or more programming languages such as Python, C++, or Java
Strong problem-solving skills and the ability to work with complex systems
Commitment to the highest ethical standards
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