Cubist Quantitative Developer

AI overview

Design and optimize a research and production pipeline for equity trading, enhancing monitoring tools and ensuring seamless production operations.

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.

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.

Point72 Asset Management, led by Steven Cohen, is a global firm specializing in diverse asset classes and strategies, prioritizing superior returns and ethical standards through innovative talent development and data-driven decision-making.

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