Software Engineer, Research – Cumberland Systematic

• →Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
• →Accelerate the research lifecycle from data engineering to feature generation and analysis
• →Integrate with diverse data sources such as blockchains, exchanges, and data vendors
• →Test at the unit, functional, and integration levels
• →Work within in a small team as well as independently with a strong user focus
• →Provide on-call support as needed

• Python experience gained through professional experience
• Built complex systems in modern Python that are maintainable and safely refactorable
• Hands-on experience managing large, evolving timeseries data
• A working knowledge of type safety and type systems
• Strong verbal and written communication skills
• Strong internal motivation and a continual desire to learn

• Contributions to open-source crypto projects
• Production experience running full or archive blockchain nodes at scale
• Collaborated with quantitative researchers
• A working knowledge of high-level machine learning concepts and lifecycle
• Experience with functional programming and immutable design principles
• Practical knowledge of major blockchain types and clients

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