Fraud Analytics Specialist

Sezzle LA; Argentina; Presencial; ARS 48.867.000 - 63.190.000; Jornada completa

Descripción de la vacante

Sezzle LA is seeking a Fraud Data Analyst to identify and prevent fraudulent transactions, using SQL and Python to analyze large data sets and detect anomalies. You will develop prevention rules, investigate suspected fraud, and collaborate with teams to minimize risk.

The role demands strong analytical skills and the ability to work independently in a fast-paced fintech environment. Ideal candidates hold a relevant degree and have 2+ years in fraud-related roles, with experience in fraud

Formación

• Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or related).
• Minimum of two (2) years in fraud detection, prevention, or investigation.
• Two (2) years of SQL and Python experience.
• Strong analytical and problem-solving skills with keen attention to detail.

Responsabilidades

• Monitor transactions and accounts to identify suspicious or fraudulent activity.
• Utilize fraud detection tools to identify trends and patterns.
• Investigate suspected fraudulent activities and document findings.
• Analyze large datasets with SQL to find anomalies and insights.
• Develop and implement fraud prevention rules and controls.
• Stay updated on industry best practices and emerging fraud threats.

Conocimientos

SQL

Python

Fraud detection

Data analysis

Analytical thinking

Communication

Educación

Bachelor's degree

Descripción del empleo

Sezzle LA is seeking a Fraud Data Analyst to identify and prevent fraudulent transactions, using SQL and Python to analyze large data sets and detect anomalies. You will develop prevention rules, investigate suspected fraud, and collaborate with teams to minimize risk.

The role demands strong analytical skills and the ability to work independently in a fast-paced fintech environment. Ideal candidates hold a relevant degree and have 2+ years in fraud-related roles, with experience in fraud