Remote Fraud Data Analyst

Sezzle; Santiago; Híbrido; CLP 65.299.000 - 93.284.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Sezzle is seeking a detail-oriented Fraud Data Analyst to join our growing team. The ideal candidate will uncover fraudulent activities and apply fraud prevention strategies, using SQL to query and analyze data and help protect merchants and customers.

Note: only English resumes accepted. You will work with cutting-edge tools in a fast-paced fintech environment to safeguard transactions and enable trusted shopping experiences.

Formación

• 2+ years of experience in fraud detection, prevention or investigation.
• Proficient with SQL and Python for data analysis.
• Strong analytical and problem-solving skills with attention to detail.

Responsabilidades

• Monitor transactions and accounts to identify suspicious or fraudulent activity.
• Use fraud detection tools and techniques to spot trends and patterns.
• Investigate suspected fraud cases and document findings.
• Analyze large datasets with SQL to identify anomalies.
• Develop and implement fraud prevention rules and controls.
• Stay current on industry trends and new fraud technologies.

Conocimientos

SQL

Python

Fraud detection

Analytical thinking

Educación

Bachelor's degree in a relevant field

Herramientas

Claude or equivalent LLM tools

Descripción del empleo

Sezzle is seeking a detail-oriented Fraud Data Analyst to join our growing team. The ideal candidate will uncover fraudulent activities and apply fraud prevention strategies, using SQL to query and analyze data and help protect merchants and customers.

Note: only English resumes accepted. You will work with cutting-edge tools in a fast-paced fintech environment to safeguard transactions and enable trusted shopping experiences.