Technology, Application Development, Summer Analyst, Tampa - USA, 2027

About the role

Technology Summer Analyst internship in Citi’s Tampa application development team. You will build scalable software in an agile environment, test and debug code, support deployment, review peer programming, and contribute to technology projects across banking. The program begins in early June and includes structured education, desk training, mentoring, networking, and global project exposure.

Responsibilities

• Develop quality, scalable software solutions in an agile development environment.
• Write code based on business requirements and applicable quality standards.
• Test and debug code using appropriate tools to help ensure defect-free programming.
• Support testing cycles and post-production software deployment activities.
• Participate in peer code reviews and collaborate with diverse, cross-functional teams.

Technology Exposure

• Back-end technologies may include Java, Python, and the Spring Framework.
• Front-end technologies may include React, TypeScript, Angular, HTML5, Swift, and Kotlin.
• Generative AI exposure may include GitHub Copilot, automated code reviews, prompt engineering, and workflow design.
• Data analytics tools may include Splunk, Tableau, and Adobe Analytics.
• Projects may support digital banking, cybersecurity, and data-driven innovation.

Training And Development

• The program starts in early June with education covering analyst fundamentals and Citi’s culture.
• On-the-desk training, speaker sessions, networking, mentoring, and structured development programs are included.
• New hires join a cohort and learn company tools, processes, and technical skills together.
• Participants gain global project exposure and collaborate across functions, cultures, and time zones.

Requirements

• Expected graduation between December 2027 and May 2028.
• Bachelor’s degree in computer science, computer engineering, information technology, management information systems, or another technology-related discipline.
• Ability to pass technical interviews involving basic algorithmic programming exercises.
• Strong communication, collaboration, adaptability, project management, leadership, and attention-to-detail skills.
• Authorized to work in the relevant country without employer sponsorship, now or in the future.

Preferred Qualifications

• GPA of 3.0 or better is preferred.
• Prior experience working in agile teams is desirable.
• Proactive problem-solving ability and interest in using generative AI for complex business challenges.
• Global outlook and enthusiasm for technology’s application in the financial industry.