Remote Fraud Data Analyst — Detect & Prevent FinTech Fraud

Embedded Shishya; Argentina; A distancia; ARS 105.574.000 - 150.820.000; Jornada completa

Descripción de la vacante

Sezzle is seeking a detail-oriented 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. You will identify, investigate, and prevent fraudulent transactions and activities, utilizing your analytical skills and experience with SQL to query and analyze data.

Due to the requirements of the position, only English resumes will be accepted.

Formación

• Bachelor's degree in a relevant 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.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.).
• Excellent written and verbal communication skills, with the ability to clearly articulate complex issues.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Fraud detection

Educación

Bachelor's degree in Economics, Computer Science, Analytics, or related field

Herramientas

Fraud detection platforms

Descripción del empleo

Sezzle is seeking a detail-oriented 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. You will identify, investigate, and prevent fraudulent transactions and activities, utilizing your analytical skills and experience with SQL to query and analyze data.

Due to the requirements of the position, only English resumes will be accepted.