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Satispay

Fraud Data Analyst

Satispay

Fraud Data Analyst ensuring digital payments security for Satispay. Architecting defense strategies and optimizing decisioning stack for fraud patterns.

Posted 5/12/2026full-timeBarcelona • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
GraphQLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Architect Real-Time Strategies – You will be responsible for our real-time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions.
  • Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss.
  • Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies.
  • Optimize the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals.
  • Calibrate ML & Heuristics – Work with Data Science to operationalize machine learning models, determining how to best "wrap" model scores with heuristic rules.
  • Champion Frictionless UX – Analyze security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience.
  • Strategic Performance Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite.

Requirements

What you’ll need
  • Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors.
  • Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development.
  • Domain Expertise – You have a solid understanding of payment fraud dynamics and experience working with real-time decisioning environments.
  • Communication – You possess excellent communication skills and are fluent in English.
  • Nice to Have – Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus.

Benefits

Comp & perks
  • ❤️ Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops)
  • 💰 Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you're moving countries)
  • ⚙️ Growth and development (Professional development programs, Internal mobility, Language courses with Preply)
  • 🌱 Flexibility (Unlimited PTO, Hybrid working policy*, Flexible working hours)
  • 👨‍👩‍👧 Family (Enhanced parental leave, Additional leave for child sickness)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythonMachine LearningData SciencePySparkGraphQLReal-Time DecisioningFraud DetectionHeuristic RulesData Analysis
Soft Skills
CommunicationAnalytical SkillsProblem SolvingCollaborationStrategic Thinking