Year-Round Intern - Data

theocc; Chicago (IL); Hybrid; USD 19,000 - 24,000; Part time

Job summary

The Options Clearing Corporation (OCC) invites students for a Year-round Internship in Chicago, offering hybrid work with anchor in-office days. The program caps at 1,000 hours, supporting up to 20 hours/week during the school year and up to 40 hours/week in summer.

You will join Data Platform Core and Data Services, building foundational cloud-based data processing capabilities with SQL, Java Spring Boot, Python, Kubernetes, and Kafka, while learning CI/CD tools and DevOps practices.

Qualifications

• Rising senior or second-year graduate student, graduating December 202

Responsibilities

• Work closely with Data Platform Core and Data Services team responsible for foundational cloud-based data processing and data access capabilities and services using stream processing technologies such as SQL, Java Spring Boot, Python, Kubernetes, Kafka.
• Collaboratively work with the members of the team on planning, documenting requirements, writing SQL code, and troubleshooting issues;
• Learn new tools to tools and technologies; participate in sprint reviews and present end of the sprint, deliverables.
• Leverage AI-assisted development tools, including Claude Code, to accelerate feature development, test generation, code review, and documentation while building good engineering habits in a regulated environment.
• Collaborate with business users and technical teams across the organization to understand data needs, gather requirements, and contribute to solutions that make internal data accessible and useful for analysts.

Skills

SQL

Java Spring Boot

Python

Kubernetes

Kafka

Tools

Git

Jenkins

Artifactory

Splunk

Job description

Interns and seasonal interns are eligible only for paid sick leave accrued based on hours worked. No other benefit including technology stipend apply to interns or seasonal interns.

Location: Chicago

Internship type: Year-round intern (1,000 hours max, January 2027-December 2027)

Hybrid Work Program

OCC operates under a Hybrid Work Program which, absent an approved exception, requires employees to work from an OCC office at least 3 days per week. To maximize in-person collaboration, Tuesday and Wednesday are considered anchor days, and all employees are expected to work in the office both days. Employees meeting performance expectations are generally permitted to select 2 other days per week to work remotely if desired. When working remotely, employees are generally expected to work from the state in which they reside, absent an exception approved by Human Resources. Additionally, OCC generally does not permit employees to work while traveling internationally.

About OCC:

A World Class Clearing Organization

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 21 exchanges and trading platforms.

OCC also provides free and engaging educational resources about the benefits and risks of options through its Options Industry Council (OIC ).

OCC is building a culture that empowers continued learning, authentic innovation, and constant creativity.

About the Intern Program:

OCC is looking for interns who are eager to learn, humble enough to ask questions, and ready to think critically about complex problems. The OCC Internship Program equips students with the real-world skills needed to transition successfully into a career in financial services. As an intern, you will contribute to meaningful projects, applying your skills and knowledge to real challenges facing the business. Your time with us is a real opportunity to make a genuine impact on the future of OCC!

OCC's Year-Round Internship Program is a 12-month opportunity running from January through December and is open to both undergraduate and graduate students who are actively enrolled at a college or university. Interns work up to 20 hours per week during the school year and up to 40 hours per week during the summer, subject to a 1,000-hour cap. The role is based in a hybrid work environment, and overtime is not permitted.

About the Team & Role:

The intern will work closely with Data Platform Core and Data Services teams. These teams are responsible for building and maintaining foundational cloud-based data processing and data access capabilities and services using stream processing technologies such as SQL, REST-based APIs, Java Spring Boot, Python, Kubernetes, Kafka. The intern will get more familiar with continuous integration and continuous deployment technologies such as Git Jenkins, and Artifactory, and DevOps concepts and tools; infrastructure and application monitoring tools and technologies such as Splunk.

Job Summary & Responsibilities

• Work closely with Data Platform Core and Data Services team responsible for foundational cloud-based data processing and data access capabilities and services using stream processing technologies such as SQL, Java Spring Boot, Python, Kubernetes, Kafka.
• Collaboratively work with the members of the team on planning, documenting requirements, writing SQL code, and troubleshooting issues;
• Learn new tools to tools and technologies; participate in sprint reviews and present end of the sprint, deliverables.
• Leverage AI-assisted development tools, including Claude Code, to accelerate feature development, test generation, code review, and documentation while building good engineering habits in a regulated environment.
• Collaborate with business users and technical teams across the organization to understand data needs, gather requirements, and contribute to solutions that make internal data accessible and useful for analysts.

Candidate Qualifications

Rising senior or second-year graduate student, graduating December 202