Data & AI Intern at Cross River in Fort Lee, NJ

Summary: Cross River is a financial technology company that builds infrastructure for innovative financial products. They are seeking a Data & AI Intern for an eight-week summer internship program where the intern will assist in data architecture, business intelligence support, and participate in AI/ML projects. Responsibilities: - Data Architecture & Design: Assist in developing conceptual designs for data marts, understanding business requirements and translating them into logical data models - Business Intelligence Support: Contribute to CRBi projects, including dashboard development, report generation, and data visualization initiatives - Data Quality & Production Support: Support data production processes, including data validation, quality checks, and troubleshooting - AI & Analytics Projects: Participate in AI/ML pilot projects and exploratory data analysis initiatives - Documentation: Create and maintain technical documentation for data models, processes, and analytical methodologies - Cross-functional Collaboration: Work with stakeholders across the organization to understand data needs and deliver insights Required Qualifications: - Assist in developing conceptual designs for data marts, understanding business requirements and translating them into logical data models - Contribute to CRBi projects, including dashboard development, report generation, and data visualization initiatives - Support data production processes, including data validation, quality checks, and troubleshooting - Participate in AI/ML pilot projects and exploratory data analysis initiatives - Create and maintain technical documentation for data models, processes, and analytical methodologies - Work with stakeholders across the organization to understand data needs and deliver insights Required Skills: Data Architecture, Business Intelligence, AI/ML Projects Important Skills: Data Visualization, Data Quality Nice-to-Have Skills: Agile Development, Cross-functional Collaboration, Technical Documentation