2027 Early Talent Internship, Technology

About the Role

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.

Key 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.

Internship Areas

Chief Technology Office (CTO)

• Engage with Enterprise Technology Ecosystems: Gain exposure to how enterprise architecture decisions are made in a large financial services organization.
• Develop Technical Expertise: Learn about cloud migration strategies and implementation.
• Preferred Technical Skills: AWS, Scripting (Bash, Python, Javascript), basic networking, containerization, and Virtualization.

Corporate Technology Data & AI Office

• Gain hands-on experience in areas such as data analysis, data engineering, software development, business analysis, project management, cloud, AI, and machine learning.
• Collaborate with cross-functional teams to design and implement technology solutions that support corporate functions such as finance, actuarial, HR, legal, risk and compliance.
• Contribute to the development and deployment of advanced data analytics and AI models to solve business problems.
• Preferred Technical Skills: Data analysis, cloud infrastructure, data engineering, data science, business intelligence, application development, project management, and business analysis. 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.

Global Cybersecurity & Fraud Management

• Gain hands-on experience in areas such as cybersecurity operations, network and cloud security, incident response, threat analysis, vulnerability management, identity and access management, and AI-driving security solutions.
• Collaborate with cross-functional teams to embed security throughout the business and technology ecosystem.
• Engage in ongoing professional development to stay current on the latest industry trends and technology advancements and drive a culture of shared accountability for cybersecurity.
• Preferred Technical Skills: 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.

Nuveen Technology

• Interns may have opportunities to work on areas such as software development, data and analytics, applications, or technology infrastructure.
• Collaborate with both technology professionals and business partners, giving exposure to how technology supports the investment and financial services industry.
• Preferred Skillsets: 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.

Retirement & Insurance Solutions Technology

• Internship Tracks:
• Analyst Track
• Analyze data and business needs to identify trends, insights, and opportunities for improvement.
• Translate business problems into technical or data-driven solutions by gathering requirements and understanding stakeholder needs.
• Build reports, dashboards, and data visualizations to help teams make informed decisions.
• Use tools such as SQL, Excel, Power BI, Tableau, or Python to analyze and interpret data.
• Partner with business and technology teams to support process improvements, strategic initiatives, and technology solutions.
• Engineer Track
• Design, develop, test, and maintain technology solutions that support business and customer needs.
• Write and enhance code using languages such as Java, Python, JavaScript, or other programming languages.
• Build applications, APIs, software features, and technical solutions as part of an Agile development team.
• Troubleshoot and resolve technical issues while improving system performance, reliability, and functionality.

Requirements & Tech Stack

• Minimum 3.0 GPA required.
• High School Preferred.
• No Experience Required.

Qualifications

• Current enrollment in a degree-seeking program with an 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.
• Desired Degree Programs: Computer Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, Cybersecurity, Data Science, Analytics, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, Finance, Accounting, Economics, Business Administration, Management Information Systems, Operations Management, Supply Chain, or other related technical, quantitative, business, or analytical fields. Students from other degree programs may also be considered if they demonstrate strong technology curiosity, analytical ability, problem-solving skills, communication skills, and interest in financial services, operations, data, AI, cybersecurity, or enterprise technology.
• Desired Skills:
• 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.