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, and other tech components.
Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues.
Collaborate with the portfolio manager, quant researchers, and traders.

Requirements:

Undergraduate or graduate degree in Computer Science.
2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role.
Prior experience with execution/order management systems, real-time data servers, and visualization is a plus.
Solid understanding of Linux OS—system components, process management, shell scripting.
Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management.
Knowledge of SQL, JavaScript, Apache airflow.
Strong communication skills.
Willingness to take ownership of his/her work.
Commitment to the highest ethical standards.

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