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.