Fraud Data Analyst - Remote, Fintech Impact & Insights

Sezzle; Bogotá; Remote; COP 80,000,000 - 120,000,000; Full time

Job summary

Sezzle, a fintech company, seeks a Fraud Data Analyst to identify and prevent fraudulent activity across transactions and accounts. You will leverage SQL and Python to analyze large datasets, build detection rules, and investigate incidents to protect customers and merchants.

The role emphasizes rigorous analytical thinking, familiarity with fraud typologies, and the use of AI tools to enhance productivity and research in a fast-paced culture.

Qualifications

• Bachelor's degree in a relevant field (Economics, CS, Analytics, or related).
• 2+ years in fraud detection, prevention, or investigation.
• 2+ years of experience with SQL and Python.
• Strong analytical and problem-solving skills with attention to detail.
• Understanding of common fraud typologies (account takeover, identity theft, payment fraud, etc.).
• Experience with fraud detection tools and platforms is a plus.
• Excellent written and verbal communication skills; able to articulate complex issues.
• Ability to work independently and in a fast-paced team environment.
• Strong organizational skills and ability to manage multiple priorities.
• Demonstrated experience working with Claude or equivalent AI tools.

Responsibilities

• Monitor transactions and customer accounts to identify suspicious activity.
• Use fraud detection tools to identify trends and patterns.
• Investigate suspected fraud 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 fraud-tech.

Skills

SQL

Python

Analytics

Fraud detection

Attention to detail

AI tools (Claude)

Education

Bachelor's degree in Economics, Computer Science, Analytics or related field

Tools

Claude

Job description

Sezzle, a fintech company, seeks a Fraud Data Analyst to identify and prevent fraudulent activity across transactions and accounts. You will leverage SQL and Python to analyze large datasets, build detection rules, and investigate incidents to protect customers and merchants.

The role emphasizes rigorous analytical thinking, familiarity with fraud typologies, and the use of AI tools to enhance productivity and research in a fast-paced culture.