Fraud Data Analyst - Barcelona

As Fraud Data Analyst, you will help secure real-time digital payments by designing and deploying decisioning logic that blends ML scores with velocity features. You’ll translate fraud patterns into high-impact rules and partner across teams to optimize the risk stack. You’ll hunt emerging fraud schemes and shape end-to-end mitigation while preserving a frictionless user experience. This role combines data science input, product collaboration, and leadership-facing reporting to evolve risk appetite.

• Private health insurance for you and family
• Stock Option Plan
• Relocation support
• Hybrid working policy
• Unlimited PTO
• Flexible working hours

• Design and implement real-time decisioning logic using ML scores and velocity features
• Develop and optimize high-performing fraud rules to balance false positives and fraud loss
• Investigate and mitigate emerging fraud schemes (ATO, social engineering)
• Collaborate with Product and Engineering to define analytical requirements and data signals for new features
• Operationalize ML models with heuristic rules in the decisioning stack
• Analyze security measures to minimize user friction while maintaining protection
• Provide data-driven insights on rule efficacy and portfolio health to senior leadership

• 3–7 years of experience in risk, payments, or credit sectors
• Strong SQL and Python skills for data analysis and strategy development
• Solid understanding of payment fraud dynamics and real-time decisioning environments
• Excellent communication skills and English fluency
• Nice to have: experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge

• teamwork
• curiosity
• ownership
• SQL
• Python
• PySpark