Sezzle is a financial technology company focused on flexible consumer payments. Its buy now, pay later service lets shoppers split eligible purchases into four interest-free installments over six weeks, with instant approval decisions that do not affect credit scores. Through its mobile app and merchant partnerships, Sezzle supports online and in-store shopping while offering an alternative to traditional credit cards. The company’s work centers on building accessible payment tools that give consumers greater control and flexibility over everyday purchases.
Fraud Operations Analyst - Mexico (Remote)
Investigate suspicious transactions and user activity for Sezzle’s interest-free installment payment platform. Use data analysis, AI tools, and cross-functional collaboration to strengthen fraud detection and prevention.
Description
- Review live transactions and customer activity flagged for potential fraud or abuse.
- Assess individual transactions against internal policies and established review procedures to determine fraud risk.
- Learn relevant systems and tools, using data analysis to identify account and transaction patterns.
- Study fraud trends and user behavior to support machine learning models, rules, and detection solutions.
- Partner with analysts, operations specialists, data scientists, and engineers to enhance fraud controls, workflows, and tooling.
- Build and maintain current expertise in fraud prevention methods and technologies.
- Resolve assigned cases within SLA targets to support timely decisions and reduce potential losses.
- Manage escalations from internal and external stakeholders with professionalism and efficiency.
- Work full-time Monday through Friday from 9:00 a.m. to 5:30 p.m. local time in the Central time zone.
Requirements
- Hold a bachelor’s degree from an accredited institution.
- Have at least one year of experience investigating and resolving fraud incidents.
- Analyze data and make effective decisions in a fast-paced, occasionally ambiguous environment.
- Demonstrate strong attention to detail and the ability to manage multiple tasks.
- Bring excellent problem-solving and analytical abilities.
- Communicate clearly and exercise sound business judgment.
- Show initiative and work independently with minimal supervision after training.
- Be available to work through holidays.
- Have experience with Claude or comparable large language model tools and be comfortable using AI to improve productivity, research, and communication.
- Experience in fintech, payments, lending, banking, or another financial institution is a plus.
- A degree in statistics, mathematics, finance, economics, or a related quantitative field is preferred; a graduate degree is a plus.
- Experience with database query languages such as SQL and data processing or analytics tools including Python, R, or SAS is a plus.
- Be ideally available to start within two weeks of accepting an offer.
- Submit an English-language resume; only English resumes will be accepted.
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