Fraud Data Analyst | Detect & Prevent with SQL & Python

Sezzle LA; Bogotá; Presencial; COP 100.516.000 - 129.977.000; Jornada completa

Descripción de la vacante

Sezzle LA is seeking a detail-oriented Fraud Data Analyst to join our growing team in Bogotá. You will identify, investigate, and prevent fraudulent transactions using SQL and Python, helping protect customers and merchants.

You will work in a fast-paced fintech environment, stay current with fraud trends, develop prevention rules, and collaborate with cross-functional teams to maintain data-driven safeguards.

Formación

• 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.
• 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.).

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

Analytical skills

Fraud prevention experience

Educación

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

Herramientas

Fraud detection tools

Descripción del empleo

Sezzle LA is seeking a detail-oriented Fraud Data Analyst to join our growing team in Bogotá. You will identify, investigate, and prevent fraudulent transactions using SQL and Python, helping protect customers and merchants.

You will work in a fast-paced fintech environment, stay current with fraud trends, develop prevention rules, and collaborate with cross-functional teams to maintain data-driven safeguards.