Quantitative Developer

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Point72 Cubist Systematic Strategies is seeking a Quantitative Developer to design and develop software for strategy research and trading focused on systematic credit and related asset classes. The role includes building tools for data acquisition, managing CI/CD pipelines, and collaborating with portfolio managers and researchers.

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.

Qualification

Proficiency in PythonKnowledge of SQLStrong communication skills

Required

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.