Overview
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: Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact. Responsibilities: Design and develop software for strategy research and trading. Build and improve tools for data acquisition, processing, and visualization. Work on the execution/order management system, live dashboards, and P&L reconciliation tools. Manage the team’s CI/CD pipeline, job running infrastructure
Full job description
Full Job Description
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:
Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.
Responsibilities:
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Design and develop software for strategy research and trading.
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Build and improve tools for data acquisition, processing, and visualization.
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Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
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Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components.
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Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues.
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Collaborate with the portfolio manager, quant researchers, and traders.
Requirements:
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Undergraduate or graduate degree in Computer Science.
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2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
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Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
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Solid understanding of Linux OS—system components, process management, shell scripting.
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Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
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Knowledge of SQL, JavaScript, Apache airflow.
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Strong communication skills.
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Willingness to take ownership of his/her work.
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Commitment to the highest ethical standards.
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