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
The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment.
RESPONSIBILITIES
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Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits.
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Performance optimization in both research and production environments.
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Troubleshooting and resolving production issues.
REQUIREMENTS
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Bachelor’s degree or higher in computer science or other quantitative discipline.
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3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
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Advanced proficiency in Python and its ecosystem.
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Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
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Experience in software architecture and engineering is a plus.
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Experience in distributed computing is a plus.
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Strong quantitative skills and knowledge in statistics and linear algebra is a plus.