
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
🕒 September 13, 2025
🇨🇴 Colombia – Remote
💵 $2.8M / month
👨🎓 Internship
⚪️ Entry-level
⚙️ Operations
🚫👨🎓 No degree required
👻 Ghost score 64%
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201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
• Monitor real-time transactions and customer behaviors flagged for fraud and abuse • Investigate transactions using internal policies and review methodologies • Analyze account patterns using internal systems and tools • Research fraud and user behavior to contribute to machine learning models, rules, and detection systems • Collaborate with analysts, operations specialists, data scientists, and engineers • Maintain strong domain knowledge of fraud prevention techniques and technologies • Meet service level agreements for timely case resolution • Handle escalations from internal and external stakeholders
• Experience in analyzing data and comfort making impactful decisions in a fast-paced and sometimes ambiguous environment • Attention to detail and ability to multitask • Excellent problem-solving and analytical skills • Strong business judgment and communication skills • Ability to self-start and work with minimal supervision after training • Demonstrated experience working with Claude or equivalent large language model tools is required • Comfortable leveraging AI to enhance productivity, research, and communication • Availability to work full-time Monday–Friday between 9:00 am and 5:30 pm local time
• Paid internship
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