Remote Fraud Data Analyst - Fintech Risk & Prevention

Sezzle; Bogotá; Presencial; COP 40.000.000 - 70.000.000; Jornada completa

Descripción de la vacante

Sezzle in Bogotá, Colombia is seeking a detail-oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and analytical skills to protect customers and the business. This role emphasizes data-driven decision making, developing rules and collaborating with security and engineering teams.

English resumes are required. You will work with fintech context, stay updated on fraud trends, and contribute to reducing financial loss

Formación

• University degree in economics, CS, analytics, or related field.
• At least 2 years in fraud detection, prevention, or investigation.
• Experience with SQL and Python required.

Responsabilidades

• Monitor and investigate suspicious activity in transactions and accounts.
• Develop fraud prevention rules and controls based on data insights.
• Analyze large data sets to identify fraud patterns and anomalies.
• Collaborate with security, engineering, and product teams to reduce risk.
• Stay current on industry fraud trends and best practices.

Conocimientos

Analytical thinking

Attention to detail

Fraud detection knowledge

Educación

Bachelor's degree in Economics

Bachelor's degree in Computer Science

Bachelor's degree in Analytics

Herramientas

SQL

Python

Fraud detection tools

Descripción del empleo

Sezzle in Bogotá, Colombia is seeking a detail-oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and analytical skills to protect customers and the business. This role emphasizes data-driven decision making, developing rules and collaborating with security and engineering teams.

English resumes are required. You will work with fintech context, stay updated on fraud trends, and contribute to reducing financial loss