LATAM Fraud Data Analyst — Detect & Prevent

Sezzle LA; United States; Remote; USD 32,000 - 42,000; Full time

Job summary

Sezzle LA in the United States is seeking a detail‑oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and other analytics to protect customers and the company.

Responsibilities include monitoring transactions, applying fraud detection tools, conducting investigations, developing prevention rules, and staying current with industry trends.

Qualifications

• Bachelor's degree in Economics, Computer Science, Analytics or related field.
• Minimum 2 years in fraud detection, prevention or investigation.
• Minimum 2 years of SQL and Python experience.
• Experience with fraud detection tools is a plus.
• Excellent written and verbal communication.

Responsibilities

• Monitor transactions to identify suspicious or fraudulent activity.
• Utilize fraud detection tools to identify trends and patterns.
• Conduct in-depth investigations and document findings.
• Analyze large datasets with SQL to find anomalies.
• Develop and implement fraud prevention rules and controls.
• Stay up-to-date with industry best practices and emerging threats.

Skills

SQL

Python

Fraud detection

Analytical thinking

Communication

Education

Bachelor's degree

Tools

Claude or similar LLM tools

Job description

Sezzle LA in the United States is seeking a detail‑oriented Fraud Data Analyst to join our growing team. You will identify, investigate, and prevent fraudulent transactions using SQL and other analytics to protect customers and the company.

Responsibilities include monitoring transactions, applying fraud detection tools, conducting investigations, developing prevention rules, and staying current with industry trends.