Quantitative Developer
Point72 Asset Management - Chicago
Posted Aug 15, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Quantitative Developer Chicago 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
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