Remote Fraud Data Analyst — Detect & Prevent Fraud

Sezzle; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Sezzle 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, leveraging SQL and Python to analyze data.

You will work with fraud detection tools, stay current on threats, and help architect rules and controls. The ideal candidate has 2+ years in fraud, strong analytical skills, and experience with AI tooling like Claude.

Qualifications

• Bachelor's degree in a relevant field (e.g. Economics, CS, Analytics).
• Minimum of two years in fraud detection, prevention, or investigations.
• Minimum of two years using SQL and Python.
• Excellent analytical and problem-solving skills with attention to detail.
• Experience with fraud detection platforms is a plus.
• Familiarity with large language models (e.g., Claude) is required.

Responsibilities

• Monitor transactions to identify and investigate suspicious activity.
• Use fraud detection tools to identify trends and patterns.
• Perform in-depth investigations and document findings.
• Analyze large datasets with SQL to spot anomalies in fraud.
• Develop and implement fraud prevention rules and controls.
• Stay updated on industry best practices and new fraud tech.

Skills

SQL

Python

Data analysis

Fraud prevention

Investigations

Education

Bachelor's degree in a relevant field

Tools

Fraud detection tools

Claude (LLM) tools

Job description

Sezzle 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, leveraging SQL and Python to analyze data.

You will work with fraud detection tools, stay current on threats, and help architect rules and controls. The ideal candidate has 2+ years in fraud, strong analytical skills, and experience with AI tooling like Claude.