Fraud Prevention Analyst II

dLocal Logo

dLocal

πŸ“Remote - Argentina, Uruguay

Summary

Join dLocal's Fraud Prevention Tactics team and contribute to shaping the company's fraud prevention strategy across various industries. You will analyze data, develop fraud prevention rules, collaborate with data scientists, and work directly with clients to optimize payment processes while maintaining user experience and meeting key performance indicators. This role requires strong analytical skills, proficiency in SQL, and experience in fraud prevention. dLocal offers a remote-first, flexible work environment with various benefits including learning and development opportunities, language classes, and a social budget. The ideal candidate will possess a bachelor's degree in a related field and 1-3 years of experience in fraud prevention. The position involves continuous data analysis, rule development, and collaboration with cross-functional teams.

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 balance 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

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 is a bonus

Benefits

  • Remote work: work from anywhere or one of our offices around the globe!*
  • Flexibility: we have flexible schedules and we are driven by performance
  • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
  • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
  • Learning & development: get access to a Premium Coursera subscription
  • Language classes: we provide free English, Spanish, or Portuguese classes
  • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
  • DLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.