Quantitative Developer building and maintaining portfolio compliance and analytics features. Works cross-functionally to onboard clients, debug calculations, and implement new functionality. Requires strong Python/Java/C# skills and quantitative background.
135k – 150k/yr
RemoteData Engineering
About the role
Responsibilities
Assist with client onboarding and support. Work with the analytics team, data team, and business analysts to understand client data, configure portfolio compliance and analytics, and debug calculation issues
Implement, test, and maintain new functionality for portfolio compliance and onboarding
Help to improve and maintain documentation for internal team members
Requirements
Bachelor’s in Mathematics, Computer Science, Finance, Economics, or similar field with a strong quantitative emphasis
Experience with an object-oriented programming language such as Python, Java, or C#
Desire to understand and communicate problems from both a financial and technical point-of-view
Preferred
Experience with core financial data domains including issuers, instruments, industries, ratings, and pricing
Familiarity with CLOs and asset-based lending
Experience with analytic Python libraries, such as Pandas and Numpy
Familiarity with RESTful APIs and applications
Experience with AI tools, such as Claude Code or Google Gemini
Stuut is seeking a Data Engineer to build and own their data infrastructure from the ground up. This foundational role involves designing pipelines, data models, and implementing DataOps best practices to transform financial data into actionable insights.
135k – 190k/yr
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