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Fraud Data Analyst - Barcelona

Satispay

Satispay

Internet Services

Milano - Italien

Senior Specialist / Project Manager

Hybrid

Experteer Overview

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.

Compensation / Benefits

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

Responsibilities

  • 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

Key requirements

  • 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

Description

As Fraud Data Analyst, you will help secure real-time digital payments by designing and deploying decisioning logic that blends ML scores wi…
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