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# Fraud Data Analyst - Satispay

- **Company:** Satispay
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Pyspark, Performance Monitor, Graphql
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/fraud-data-analyst-satispay-en-barcelona-ID-372139302

## About the Role

Requisitos principales3-7 years of professional experience in risk, payments, or credit
Strong SQL and Python for data analysis and strategy development
Solid understanding of payment fraud dynamics and real-time decisioning environments
Excellent English communication skills
Nice to Have: Machine Learning, Data Science, PySpark, GraphQL
teamwork
problem-solving
curiosity
SQL
Python
real-time decisioning

## Description

OverviewIn this role you will help secure digital payments by designing real-time defense strategies.You will work closely with Product and Engineering to shape the decisioning stack and translate fraud patterns into high-impact rules.You'll balance security with a smooth user experience, reducing friction while protecting users.This position offers fast-paced collaboration and the chance to influence risk strategy at scale in a growing fintech platform.Compensaciones / BeneficiosPrivate health insurance for you and your familyStock option planRelocation supportProfessional development programsUnlimited PTOHybrid working policy with flexible hoursResponsabilidadesArchitect real-time decisioning strategies for fast-millisecond decisionsDevelop precise, high-performing fraud rules to balance false positives and fraud lossInvestigate and mitigate emerging payment fraud schemes (e.g., ATO, social engineering)Collaborate with Product and Engineering to define analytical requirements for new features and data signalsOperationalize ML models with heuristic rules in the decisioning stackAssess security measures to minimize unnecessary user friction while maintaining protectionProvide strategic performance reporting to leadership on rule efficacy and risk postureRequisitos principales3-7 years of professional experience in risk, payments, or creditStrong SQL and Python for data analysis and strategy developmentSolid understanding of payment fraud dynamics and real-time decisioning environmentsExcellent English communication skillsNice to Have: Machine Learning, Data Science, PySpark, GraphQLteamworkproblem-solvingcuriositySQLPythonreal-time decisioning


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