Fraud Data Analyst

Overview

Fraud Data Analyst responsible for identifying, investigating, and preventing fraudulent transactions and account activity using data analysis and SQL.

What you'll do

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

What you'll need

• Have a bachelor’s degree in a relevant field (e.g., Economics, Computer Science, Analytics, or related).
• Minimum 2 years of experience in a fraud detection, prevention, or investigation role.
• Minimum 2 years of experience working with SQL.
• Minimum 2 years of experience working with Python.
• Strong analytical and problem-solving skills with attention to detail.
• Demonstrated experience working with Claude or equivalent large language model tools.

Details

• Location: Argentina (Remote).
• Employment tag: full-time.
• Resume requirement: only English resumes accepted.