Fraud Operations Intern

About Sezzle With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role As a Fraud Operations Intern, you'll join our Shopper Risk Operations team, the people who keep Sezzle safe for shoppers and merchants. You'll review activity flagged by our fraud detection systems and Customer Support, decide what's fraud and what isn't, and help us spot new fraud patterns before they spread. You'll work alongside analysts, data scientists, and engineers, and see how fraud prevention works inside a fast-growing, publicly traded fintech. We are seeking a talented and motivated intern who is best in class with a high IQ plus a high EQ. No prior fraud experience is required; we'll train you. Curiosity, attention to detail, and good judgment matter more. This is a paid, full-time, remote internship: Monday to Friday, 12:00 pm to 21:00 pm local time. What You'll Do • Review transactions and accounts flagged for possible fraud or abuse • Investigate cases using our internal tools and policies, and decide whether to block or clear them • Look for patterns in account and transaction data • Share what you find to help improve our fraud rules and detection models • Work through your case queue on time and keep clear notes • Help resolve escalations from internal teams What You'll Learn • How fintech companies detect and prevent fraud, from manual review to machine learning models • How to investigate cases and make decisions with data • How risk, operations, data, and engineering teams work together What We Look For • Current university student or recent graduate. Industrial or Systems Engineering, Economics, Business, Finance, Accounting, Statistics, Law, and related fields are a great fit • Strong attention to detail and good judgment • Comfortable working with numbers and spreadsheets (Excel or Google Sheets) • English at B2 level or higher (written and spoken) • Clear written communication • Able to work independently once trained • Comfortable using AI tools such as Claude or ChatGPT to boost productivity, research, and communication Nice to Have • Coursework or projects involving data analysis (Excel, SQL, or similar) • Interest in fintech, payments, or cybersecurity About You • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed. • You're not bound by convention - your success—and much of the fun—lies in developing new ways to do things. • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking. • You earn trust - you listen attentively, speak candidly, and treat others respectfully. • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree