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Hedge Funds
Quantitative Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Chicago
- Country
- United States
Currency: Not specified
Quantitative Developer for a PM team at Cubist (Point72) focused on systematic credit and related asset classes. You will design and develop research and trading software, build data acquisition/processing/visualization tools, and work on execution/OMS, live dashboards, and P&L reconciliation. The role includes managing CI/CD, job-running infrastructure, and ensuring system robustness, with close collaboration with portfolio managers, quant researchers, and traders. Requires strong Python and Linux skills and 2+ years building research or trading infrastructure; experience with SQL, JavaScript, execution systems and Airflow is a plus.
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Quantitative Developer Career
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Quantitative Developer
Apply Now
Experience
Early Career
Location
Chicago
Focus
Systematic Investing
Business
Cubist
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.
Apply Now
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About Cubist:
\nCubist 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:
\nQuantitative 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:
\n- 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:
\n- 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.
\n
\n
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Quantitative Developer
at Point72
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Hedge Funds
Quantitative Developer
at Point72
JuniorNo visa sponsorshipPython
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Chicago
- Country
- United States
Currency: Not specified
Quantitative Developer for a PM team at Cubist (Point72) focused on systematic credit and related asset classes. You will design and develop research and trading software, build data acquisition/processing/visualization tools, and work on execution/OMS, live dashboards, and P&L reconciliation. The role includes managing CI/CD, job-running infrastructure, and ensuring system robustness, with close collaboration with portfolio managers, quant researchers, and traders. Requires strong Python and Linux skills and 2+ years building research or trading infrastructure; experience with SQL, JavaScript, execution systems and Airflow is a plus.
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Quantitative Developer Career
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P72 Careers - Header
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Quantitative Developer
Apply Now
Experience
Early Career
Location
Chicago
Focus
Systematic Investing
Business
Cubist
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.
Apply Now
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P72 Careers - Footer
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- © 2026 Point72. All Rights Reserved
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About Cubist:
\nCubist 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:
\nQuantitative 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:
\n- 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:
\n- 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.
\n
\n
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