Fraud Data Analyst

Sezzle · Latin Americamid

In short

▸Analista de datos especializado en fraude financiero en una empresa de fintech.
▸Diariamente analizas transacciones con SQL y Python para detectar patrones de fraude y crear reglas de prevención.
▸Destaca que trabajas en un entorno de crecimiento rápido, impactando directamente en la seguridad y la experiencia del cliente.

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.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Título universitario en Economía, Ciencias de la Computación, Análisis o campo relacionado.
✓Mínimo 2 años de experiencia en detección, prevención o investigación de fraudes.
✓Mínimo 2 años de experiencia con SQL y Python.
✓Capacidad para investigar transacciones sospechosas y documentar hallazgos.
✓Conocimiento de herramientas y técnicas de detección de fraude.
✓Capacidad para identificar patrones emergentes y actuar proactivamente.

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

SQLPythonFraud detection toolsFraud prevention systemsData analysisTransaction monitoringAnomaly detectionFraud investigationRule developmentRisk control

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 detail-oriented and analytical Fraud Data Analyst to join our growing team. The ideal candidate will have a passion for uncovering fraudulent activities and a strong understanding of fraud prevention strategies. In this role, you will be responsible for identifying, investigating, and preventing fraudulent transactions and activities, utilizing your analytical skills and experience with SQL to query and analyze data. You will play a crucial role in protecting our company and our customers from financial loss and reputational damage. Due to the requirements of the position, only English resumes will be accepted. What You'll Do: • Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity. • Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns. • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings. • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior. • Develop and implement fraud prevention rules, strategies, and controls. • Stay up to date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention. What We Look For: • Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field). • Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role. • Minimum of two (2) years of experience working with SQL and Python

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.