
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.
🕒 August 19
🇨🇴 Colombia – Remote
💵 $2.8M / month
👨🎓 Internship
⚪️ Entry-level
⚙️ Operations
🚫👨🎓 No degree required
👻 Ghost score 9%
Where this job comes from
Posted on Sezzle's careers page, not through a job board
First seen by Remote Rocketship August 19
Still open on Sezzle's site. Checked 7 hours ago.

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 for manual review • Investigate transactions using internal policies and review methodologies to determine whether they are fraudulent • Understand systems and tools and investigate account patterns through data analysis • Research fraud and user behavior to contribute to machine learning models, rules, and detection systems • Collaborate with analysts, operations specialists, data scientists, and engineering to improve fraud prevention mechanisms, processes, and tools • Learn and maintain strong domain knowledge of fraud prevention techniques and technologies • Maintain or exceed SLAs for timely resolution of queued cases to minimize potential losses • Handle escalations from internal and external stakeholders professionally and efficiently
• 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 • Ability to work full-time Monday–Friday between 9:00 am and 5:30 pm local time
• Paid internship
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