2027 Early Talent Internship: Technology

TIAA•Charlotte, NC

2d•$22 - $30•Onsite

About The Position

The Technology Intern gains hands-on experience supporting meaningful projects across enterprise technology, cybersecurity, data, artificial intelligence, infrastructure, investment technology, operations, and/or client-focused functions. During the 10-week program, interns work alongside technical and business teams to solve real challenges, document requirements, analyze information, improve processes, and contribute to reliable technology solutions. Interns are introduced to modern tools and delivery practices while strengthening skills in problem solving, communication, collaboration, documentation, analytics, automation, and the responsible use of emerging technologies. The experience also helps interns understand how technology enables client service, operational excellence, risk reduction, innovation, and business growth within the financial services industry. Structured onboarding, professional development, networking, mentorship, leadership exposure, and cohort activities complement each intern’s day-to-day project work.

Requirements

Current enrolled in a degree-seeking program with expected graduation date between December 2027– June 2029
Minimum GPA of 3.0
Must have authorization to work in the U.S., and not require current or future work visa sponsorship to retain authorization to work in the U.S.

Nice To Haves

High School Preferred
No Experience Required
Programming or scripting exposure, such as Python, Java, JavaScript, TypeScript, SQL, or PowerShell.
Interest in software development, backend services, frontend interfaces, APIs, databases, testing, troubleshooting, and secure application delivery.
Exposure to data analysis, reporting, dashboarding, data quality, data governance, data lineage, business intelligence, or metrics development.
Interest in cybersecurity concepts such as security monitoring, incident response, IAM, vulnerability management, application security, API security, cloud security, and automation.
Curiosity about AI, agentic AI, responsible AI governance, prompt engineering, automation, and AI-assisted development tools.
Foundational understanding of cloud, infrastructure, systems reliability, observability, DevOps, CI/CD, or infrastructure-as-code.
Ability to work with spreadsheets, workflow tools, documentation platforms, and collaboration tools to support business and technical outcomes.
Strong curiosity, learning agility, and willingness to explore unfamiliar technology, business, and financial services topics.
Analytical thinking and structured problem solving, with the ability to break ambiguous work into clear next steps.
Clear written and verbal communication, including documentation, stakeholder updates, presentation skills, and the ability to explain technical concepts simply.
Collaboration and relationship-building across technical teams, business partners, operations groups, leaders, mentors, and peers.
Attention to detail, accountability, follow-through, and commitment to quality and data accuracy.
Adaptability, resilience, and openness to feedback in a fast-paced environment with evolving priorities.
Initiative and ownership, including asking clarifying questions early, proactively following up, and identifying improvement opportunities.
Business awareness and interest in connecting technology work to client experience, operational efficiency, risk reduction, and organizational goals.
AWS, Scripting (Bash, Python, Javascript), basic networking, containerization, and Virtualization
Data analysis, cloud infrastructure, data engineering, data science, business intelligence, application development, project management, and business analysis are desired. Including but not limited to Python (Pandas, Spark, etc.), Snowflake, SQL, NoSQL databases, Business intelligence tools (Tableau, Power BI, etc.), Java, AWS, Azure & similar cloud technologies
Readiness to continuously learn and grow technical skills relevant to analyst and engineering roles. Besides technical skills, cyber associates are team players, work at a fast pace, and have problem-solving and critical thinking skills.
Software Development and Coding, Architecture & Engineering, Data Science & Engineering, Business Analysis, Financial Analysis and Process Identification, Asset Management, Communication and Presentations skills, Team Leadership and Collaboration. Including but not limited to Python, HTML, CSS, JavaScript, and Java, XML, Oracle SQL and T-SQL, R, Tableau, all C languages, C++, Advanced Excel using Power SQL and Power BI, Machine Learning and AI, Database Engineering, Cloud, AWS Sagemaker, Git Lab, Jira, and Snowflake.

Responsibilities

Performs clerical duties such as taking memos, organizing documents, maintaining files, photocopying, faxing, etc. as needed
Assists in preparing information and research materials, including Powerpoint presentations.
Takes notes during meetings and provides to team members.
Researches and gathers documentation as directed by colleagues.
Attends company functions, including trainings programs, speaker series, lunch-and-learns and social networking events that provide opportunities for career growth and personal development.
Shadows multiple office jobs and trains in a variety of tasks.
Gains experience and an overall feel for the company and the financial services industry