Cubist Quantitative Developer

Responsibilities

• Designing, implementing, and maintaining research and production pipeline-including data processing, model building, back-testing, and live monitoring toolkits.
• Performance optimization in both research and production environments.
• Troubleshooting and resolving production issues.

Requirements

• Bachelor's degree or higher in computer science or other quantitative discipline.
• 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
• Advanced proficiency in Python and its ecosystem.
• Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
• Experience in software architecture and engineering is a plus.
• Experience in distributed computing is a plus.
• Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
• Commitment to the highest ethical standards.

Benefits

Additional Information

ABOUT CUBIST 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.

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Company Intel

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