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Quantitative Developer.

Software Engineering & Dev

Quantitative Developer: our view in 3 lines...

  • The Role:This role is for a quantitative developer supporting systematic credit trading at a firm that uses computer-driven strategies across liquid asset classes.
  • The Person:The person will design and develop software for strategy research and trading, build tools for data acquisition, processing and visualization, and maintain CI/CD and job-running infrastructure.
  • Requirements:The ideal candidate has a Computer Science degree, 2+ years of experience, and strong Python, SQL, JavaScript, Apache airflow, and Linux OS skills.

About the role

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.
Published July 14, 2026
Location Chicago, IL