Quantitative Developer

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.