What You’ll Work On 

• Collect, clean, and analyze both structured and unstructured data
• Support the development of dashboards and reports using tools like Power BI or Tableau
• Work with modern data platforms including Microsoft Azure, Snowflake, Fivetran, and dbt to support data pipelines and transformations
• Assist in evaluating and prototyping AI and machine learning use cases
• Participate in data validation, quality assurance, and documentation efforts
• Collaborate with cross-functional teams to translate business needs into data insights
• Contribute to process automation and workflow optimization initiatives
• Present findings, insights, and recommendations to IT and business stakeholders
• Ensure all work aligns with data security, privacy, and banking regulatory standards

What We’re Looking For

• Students in Data Analytics, Computer Science, Information Systems, Finance, or a related field
• Strong analytical mindset with attention to detail
• Strong foundational skills in Excel, with experience in SQL, Python, or another scripting language preferred
• Familiarity with or interest in AI technologies, data platforms, and analytics tools
• Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus
• Strong communication skills and a willingness to learn

What Makes This Internship Different

• Real Impact: Work on projects that directly influence business and technology decisions
• Modern Tech Stack: Gain exposure to enterprise tools like Azure, Snowflake, Fivetran, and dbt
• AI Exposure: Hands-on experience exploring practical AI use cases in a regulated industry
• Executive Visibility: Present insights to IT and business leadership
• Cross-Functional Experience: Partner with teams across IT, data, operations, and mortgage
• Mentorship: Learn from experienced professionals in technology and financial services

Apply Now

If you're excited about using data and AI to solve real business problems, we’d love to hear from you.