LaBine and Associates
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Manage the full SQL database infrastructure across development and mission-critical production environments. Responsibilities include administering SQL Server and MySQL databases, supporting relational database, data warehouse, and operational data store designs, enabling business intelligence applications, modeling database flows in Visio, and collaborating effectively with project teams.
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Develop and maintain quantitative risk technology for portfolio management, including financial reporting, exposure analytics, factor models, scenario analysis, APIs, and performance optimization. Collaborate with portfolio managers, risk teams, and vendors while building Python, C#, and C++ applications, integrating financial platforms, improving databases and workflows, and ensuring code quality through testing and continuous integration.
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Develop scalable data and research infrastructure, build workflows for structured and unstructured financial datasets, contribute to microservice-based platforms, and create web-based tools for internal users. The role involves greenfield development, system enhancement, and close collaboration with technology teams and firmwide end users at a quantitative investment company.
