Fraud Operations Analyst

Sezzle·Argentina, RemoteRemotejunior$1,500–$2,000 USD/mo

In short

→Analista de operaciones de fraude que revisa transacciones sospechosas en tiempo real.
→Evalúa patrones de comportamiento y flagga usuarios riesgosos o falsos positivos.
→Destaca por influir en modelos de IA y reglas de detección mediante análisis de datos.

Solo se aceptan currículos en inglés

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo identificarías un patrón de fraude en múltiples transacciones en 24 horas?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia previa en análisis de fraude o operaciones de riesgo
✓Capacidad para tomar decisiones rápidas con alta precisión
✓Comprensión de sistemas de detección de fraudes automatizados
✓Habilidades analíticas sólidas con enfoque en datos
✓Excelente comunicación para colaborar con equipos multidisciplinarios
✓Dominio del inglés (requisito obligatorio)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Sistema de detección de fraudeHerramientas internas de revisPlataformas de análisis de datProtocolos de políticas de rieSistemas de gestión de casosHerramientas de colaboración iMachine learningReglas de detecciónDashboard de monitoreo en tiemSistemas de soporte al cliente

Who should you write to at Sezzle?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Shopper Risk Fraud Operations analyst who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. As part of optimizing the online shopping experience, Sezzle constantly monitors users and transactions for abusive or fraudulent behavior. Our Fraud Operations team reviews suspicious activity flagged by Sezzle’s fraud detection system or escalated from Customer Support agents. Fraud Operations Analysts will block users deemed fraudulent or risky, and clear false positive flags from our automated systems and support agents. We monitor for new trends in fraudulent behavior and continuously evolve our policies and procedures to stay one step ahead. We are looking for a teammate who can work one of the shifts listed below full-time: • Monday -Friday between 9:00 am - 5:30 pm - local time (Central time zone). This will be a non-exempt/hourly position. Due to the requirements of the position, only English resumes will be accepted. Compensation: For this Fraud Operations Analyst the compensation range is $1,500 - $2,000 USD GROSS per month as a contractor. This range is designed to reflect the skills, experience, and value brought to the team, ensuring competitive and fair pay within the industry. What You'll Do: • 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 e

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