ОписаниеSatispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users. The company started with payments and has expanded into benefits, investing, and cards.ЗадачиArchitect and deploy real-time decisioning logic combining ML scores with velocity featuresTranslate complex fraud patterns into high-performing rules while balancing False Positive Rates and Gross Fraud LossHunt for emerging fraud schemes, including ATO and social engineering, and develop end-to-end mitigation strategiesPartner with Product and Engineering to define analytical requirements for new features and third-party data signalsWork with Data Science to operationalise machine learning models and combine model scores with heuristic rulesAnalyse security measures and design dynamic friction strategies for a seamless user experienceMonitor rule efficacy and portfolio healthPresent data-driven recommendations to senior leadership to evolve risk appetiteТребования3-7 Years of professional experience in risk, payments, or creditStrong SQL and Python skills for data analysis and strategy developmentSolid understanding of payment fraud dynamicsExperience working with real-time decisioning environmentsExcellent communication skillsFluent EnglishNice to have: Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledgeУсловияPrivate insurance for the employee and familyPsychological support with Serenis and mental health workshopsStock Option PlanMeal vouchersRelocation support if moving countriesProfessional development programsInternal mobilityLanguage courses with PreplyUnlimited PTOFlexible working hoursThree days per week in-office, with the option to request extra remote timeEnhanced parental leaveAdditional leave for child sickness
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📌 data analyst in payment fraud (Barcelona)
🏢 Enfint
📍 Barcelona