
201 - 500 employees
Founded 2016
💳 Fintech
🛍️ eCommerce
👥 B2C
💰 $225M Post-IPO Debt - Sezzle on 2024-05
Fintech • eCommerce • B2C
Sezzle is a fintech company that provides buy-now-pay-later (BNPL) payment solutions. It enables consumers to split online purchases into interest-free installment payments and offers merchants a checkout option and integrations to increase conversion and average order value. Sezzle operates primarily in North America and serves both consumers and e-commerce merchants.
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201 - 500 employees
Founded 2016
💳 Fintech
🛍️ eCommerce
👥 B2C
💰 $225M Post-IPO Debt - Sezzle on 2024-05
Fintech • eCommerce • B2C
Sezzle is a fintech company that provides buy-now-pay-later (BNPL) payment solutions. It enables consumers to split online purchases into interest-free installment payments and offers merchants a checkout option and integrations to increase conversion and average order value. Sezzle operates primarily in North America and serves both consumers and e-commerce merchants.
• Investigate disputed credit card, debit card, and ACH transactions and take suitable action to resolve disputes within allowed timeframes • Work cross-functionally with fraud and disputes departments to determine next steps on a case-by-case basis • Investigate transactions using internal policies and review methodologies to identify patterns or trends • Understand systems and tools and investigate account patterns through data analysis • Collaborate with analysts, operations specialists, data scientists, and engineering to improve loss prevention mechanisms, processes, and tools • Learn and maintain 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 • Make recommendations to management on improving and scaling processes
• Experience analyzing data and making impactful decisions in a fast-paced, 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 through Friday, 9:00 am–5:30 pm Central Time
• Paid internship
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