Fraud Data Analyst

Overview

Fraud Data Analyst responsible for identifying, investigating, and preventing suspicious or fraudulent transactions and activities using analytical and SQL-based data analysis.

What you'll do

• Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
• Use fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
• Conduct in-depth investigations, gathering evidence and documenting findings.
• Analyze large datasets using SQL to find anomalies, patterns, and fraud-related insights.
• Develop and implement fraud prevention rules, strategies, and controls.
• Stay up to date on best practices and emerging fraud threats and technologies.

What you'll need

• Bachelor’s degree in a relevant field (e.g., Economics, Computer Science, Analytics, or related).
• Minimum two (2) years of experience in a fraud detection, prevention, or investigation role.
• Minimum two (2) years of experience working with SQL and Python.
• Strong analytical and problem-solving skills with attention to detail.
• Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud).
• Demonstrated experience working with Claude or equivalent large language model tools.
• Excellent written and verbal communication skills.

Details

• Location: Mexico, Remote.
• Employment marker: #full-time.