dLocal is hiring a
Fraud Prevention Analyst II

Summary

Join dLocal as a Fraud Prevention Tactics team member and help global brands collect payments in emerging markets. Work with a diverse team, enjoy flexible culture, and benefit from travel, health, learning benefits, among others.

Requirements

• Bachelor's degree in Economics, Engineering, statistics, or related field
• 1-3 years of experience in fraud prevention or a similar industry
• Proficiency in handling large databases; SQL is a must
• Strong analytical skills and compassion for discovering new patterns and making data-driven decisions
• Attention to detail without losing sight of the big picture
• Enthusiastic, proactive, team player, and problem-solver
• Fluent in written and spoken English

Responsibilities

• Identifying fraud patterns by continuous data analysis & review of previous fraud
• Developing efficient rules that strike a balance between reducing fraud and maintaining the conversion rate
• Collaborating with the data science team to improve and create new features for machine learning model rules, while setting the appropriate thresholds for transactional scoring systems
• Analyzing new databases to enhance the quality and relevance of available data
• Being responsible for the KPIs of key clients and major industries, considering their unique needs and requests

Preferred Qualifications

• Knowledge of Python or similar data-oriented languages like R is a plus
• Experience with data management tools such as AWS Sagemaker, Athena, or Quicksigh it's a bonus