Remote Fraud Data Analyst — SQL‑Driven Detection & Prevention

Sezzle LA; Chile; Remote; CLP 31,667,000 - 40,949,000; Full time

Job summary

Sezzle LA is seeking a Fraud Data Analyst to identify, investigate, and prevent fraudulent transactions. You will query and analyze data using SQL and Python, build fraud rules, and help protect customers and the company from financial loss and reputational damage.

English resumes only. You will work in a fast-paced fintech environment, applying AI tools to boost productivity and detection capabilities.

Qualifications

• Bachelor's degree in Economics, Computer Science, Analytics, or related field.
• Minimum of two (2) years of experience in fraud detection, prevention, or investigation.
• Minimum of two (2) years of experience with SQL and Python.

Responsibilities

• Monitor transactions and accounts to identify suspicious or fraudulent activity.
• Utilize fraud detection tools and techniques to identify trends.
• Conduct investigations, gather evidence and document findings.
• Analyze large datasets with SQL to find anomalies and insights.
• Develop and implement fraud prevention rules and controls.
• Stay updated on industry best practices and new technologies.

Skills

Fraud detection

SQL

Python

Data analysis

Fintech

Claude

Education

Bachelor's degree

Tools

Claude

Job description

Sezzle LA is seeking a Fraud Data Analyst to identify, investigate, and prevent fraudulent transactions. You will query and analyze data using SQL and Python, build fraud rules, and help protect customers and the company from financial loss and reputational damage.

English resumes only. You will work in a fast-paced fintech environment, applying AI tools to boost productivity and detection capabilities.