Fraud Prevention Analyst II - Latam - Remote

Overview

As a Fraud Prevention Analyst II at dLocal, you will be integral in optimizing fraud prevention strategies across various industries, focusing on enhancing user experience while managing chargeback and conversion rates.

In Short

• Identify fraud patterns through continuous data analysis.
• Develop rules to balance fraud reduction and conversion rates.
• Collaborate with the data science team on features and machine learning models.
• Analyze new databases to improve data quality.
• Manage KPIs for key clients and industries.

Requirements

• Bachelor's degree in Economics, Engineering, Statistics, or related field.
• 1-3 years of experience in fraud prevention or similar industry.
• Proficiency in SQL for handling large databases.
• Knowledge of Python or similar languages is a plus.
• Experience with data management tools like AWS Sagemaker is a bonus.
• Strong analytical skills and attention to detail.
• Fluent in written and spoken English.

Benefits

• Flexible, remote-first work culture.
• Health and learning benefits.
• Opportunity to work with a diverse global team.
• Impact millions of people's daily lives.