C
CitiTampa, FL

Technology, Production Support, Summer Analyst, Tampa - USA, 2027

Apply

Programme

Internship

Location

Tampa, FL

Deadline

2026-10-30

About the role

Citi’s Tampa Summer Technology Analyst Program offers technology students experience in an agile software development environment. Interns develop scalable software, test and debug code, support testing and post-production deployment, review peer coding, and explore technologies including Java, Python, React, AI tools, and data analytics.

Responsibilities

  • Develop quality, scalable software solutions in an agile development environment.
  • Write code based on business requirements and applicable quality standards.
  • Support testing cycles and post-production deployment activities.
  • Use appropriate tools to test and debug code.
  • Participate in peer coding reviews and collaborate with project teams.

Program And Training

  • The program starts in early June with education on the analyst role and Citi’s culture.
  • Receive on-the-desk training, speaker sessions, networking opportunities, mentoring, and structured development programs.
  • Join a cohort of new hires learning company tools, processes, and technical skills.
  • Work on globally scoped projects with cross-functional teams and gain financial-sector technology exposure.

Technology Exposure

  • Back-end technologies may include Java, Python, and the Spring Framework.
  • Front-end and mobile technologies may include React, TypeScript, Angular, HTML5, Swift, and Kotlin.
  • Generative AI exposure may include GitHub Copilot, automated code reviews, agentic code generation, and prompt engineering.
  • Data analytics tools may include Splunk, Tableau, and Adobe Analytics.

Requirements

  • Graduate between December 2027 and May 2028.
  • Pursue a bachelor’s degree in computer science, computer engineering, information technology, management information systems, or another technology-related discipline.
  • Be authorized to work without requiring employer sponsorship now or in the future.
  • Pass technical interviews involving basic algorithmic programming exercises.
  • Demonstrate communication, collaboration, adaptability, attention to detail, and effective teamwork.

Preferred Profile

  • A GPA of 3.0 or better is preferred.
  • Prior experience working in agile teams is desirable.
  • Show proactive problem-solving, enthusiasm for innovation, and interest in using generative AI.
  • Bring a global outlook and willingness to collaborate across cultures and time zones.
  • Demonstrate interest in technology’s application within the global financial industry.