Software Engineer, Research – Cumberland Systematic

Responsibilities

• 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

Requirements

• 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

Qualifications

• To qualify for this role, you must have:
• Contributions to open-source crypto projects (bonus)
• Production experience running full or archive blockchain nodes at scale (bonus)
• Collaborated with quantitative researchers (bonus)
• A working knowledge of high-level machine learning concepts and lifecycle (bonus)
• Experience with functional programming and immutable design principles (bonus)
• Practical knowledge of major blockchain types and clients (bonus)

Pay

The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set.

Schedule

The position is also eligible for an annual discretionary bonus.

Benefits

• Included in the offer is a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

Application

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