Sezzle
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.
Fraud Operations Analyst
🕒 June 17
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Sezzle
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.
📋 Description
• Monitor real-time transactions and other customer behaviors flagged for fraud and abuse for manual review. • Investigate individual transactions using internal policies and review methodologies to determine if the transactions are fraudulent or not. • Understand our systems and tools; investigate account patterns through data analysis. • Research fraud and user behavior to contribute to machine learning models, rules and other detection systems. • Collaborate with analysts, operations specialists, data scientists and engineering to improve our fraud prevention mechanisms, processes and tools. • Learn and maintain strong domain knowledge of the world of fraud including prevention techniques and technologies. • Maintain or exceed established service level agreements (SLAs) for timely resolution of queued cases to minimize potential losses. • Handle escalations from internal and external stakeholders in a professional and efficient manner.
🎯 Requirements
• Bachelor's degree from an accredited institution • Minimum 1 year of experience in investigating and resolving fraud incidents • Experienced in analyzing data and comfortable 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 • Able to work through holidays • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
🏖️ Benefits
• Non-exempt/hourly position • Only English resumes will be accepted
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