As a quantitative developer, you will build or extend our:
• Proprietary portfolio construction and optimization techniques
• Global asset risk estimation system incorporating millions of data points
• Intuitive research APIs leveraging cloud computing and cutting-edge visualizations
• High-performance historical simulation engine
• Workflow platform using services, messaging, and graph-based dependency awareness
Your Experience
• BS/MS/PhD in Computer Science, Mathematics, or related discipline
• Outstanding coding, debugging, and analytical skills
• An aptitude for mathematics
• An interest in quantitative finance (no finance / trading experience required)
• Experience with Python / NumPy / pandas or similar quantitative stack is a plus
• Demonstrated contributions to open-source software is also a plus