Cubist Systematic Strategies is looking for a Quantitative Developer to design and develop software for strategy research and trading within a PM team focused on systematic credit and related asset classes. The role aims to improve technology projects with high business impact.
Requirements
- 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.
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.
Other
- Undergraduate or graduate degree in Computer Science.
- Strong communication skills.
- Willingness to take ownership of his/her work.
- Commitment to the highest ethical standards.
