About GreenSky

GreenSky LLC, headquartered in Atlanta, is a leading technology company Powering Commerce at the Point of Sale® for a growing ecosystem of merchants, consumers, and banks. GreenSky’s highly scalable, proprietary and patented technology platform enables merchants to offer frictionless promotional payment options to consumers, driving increased sales volume and accelerated cash flow. The GreenSky® Program is operated on behalf of, and financing is offered and made by, federally insured, federal or state chartered financial institutions, which leverage GreenSky’s technology to offer and make loans to primarily super-prime and prime consumers nationwide. Since GreenSky’s inception, nearly 6 million consumers have financed more than $50 billion of commerce using GreenSky’s real time “apply and buy” technology.

About This Opportunity

Duration: 5/18/2026-8/7/2026

Role: Enterprise Analytics Intern

Location: Hybrid – Atlanta, GA

This position will be part of GreenSky's Enterprise Analytics team.

• Intern will perform data modeling using applications such as Python.
• Analytics will focus on forecasting components related to consumer loans, cash flows, and profitability.
• Portfolio loss forecasting
• New model development covering different areas of the company.

• Working towards a bachelor's degree in a quantitative field such as engineering, economics, finance, accounting, or computer science
• Advanced Microsoft Excel capabilities
• Passionate about using data and analytics to solve problems and eager to learn about financial services and consumer lending.
• Flexibility, perseverance, and ability to thrive in a rapidly-changing, fast-paced, and demanding environment
• Skilled communicator

Preferred Qualifications:

• Ability to handle large datasets using SQL, R, Python or another similar programming language
• Educational background in Computer Science and Applied Mathematics

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.