Fraud Prevention Analyst I/II

Summary

Join a global team that makes it happen in a flexible, remote-first dynamic culture with travel, health, and learning benefits. As part of the Fraud Prevention Tactics team, you will work on deciding the fraud prevention strategy for each industry.

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
• 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
• 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 and 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. You'll also meet with their fraud teams to deliver the best solutions