The posting, in Ramp's own words
archived Nov 14, 2026About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
As a Risk Strategy Intern at Ramp, you’ll use data, analytics, and AI to help develop strategies that protect Ramp and our customers while enabling business growth. You’ll have the opportunity to join our Fraud Strategy, Onboarding Risk, or Portfolio Risk teams, gaining hands-on experience solving real business problems. You’ll collaborate with cross-functional partners, analyze data, and help build scalable solutions that improve how Ramp manages risk. This is a 12-week summer internship based in New York City.
Read the full posting ↓
What You’ll Do
Analyze data to identify trends, uncover insights, and recommend improvements to risk strategies Use SQL and AI tools to investigate business problems and support data-driven decision-making Help develop and optimize risk policies across fraud prevention, customer onboarding, and portfolio management Partner with cross-functional teams, including Product, Engineering, and Data Science, to implement solutions Research emerging risk trends and explore opportunities to improve processes through AI and automation Present findings and recommendations to stakeholders
What You Need
Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later, with coursework or project experience in data science, business analytics, , or AI. Experience with SQL for and querying Hands-on experience using AI/ to solve problems through coursework, internships, or personal projects Strong analytical and problem-solving skills, with an interest in using data to solve business challenges Excellent written and verbal communication skills Curiosity, willingness to learn, and ability to thrive in a fast-paced environment