ОписаниеPreply creates personalized language-learning experiences by connecting learners with tutors through a human-led, technology-enabled platform. The company serves learners in 180 countries, with more than 100,000 tutors teaching over 90 languages, and develops AI-enhanced solutions for education.ЗадачиWork with ML model outputs to improve fraud prevention decisions while balancing detection coverage and false-positive ratesOwn the fraud rule lifecycle by designing, testing, maintaining, and retiring prevention rulesPartner with Fraud Operations to identify emerging abuse patterns and translate operational observations into analytical improvementsDesign and maintain alerting systems that identify threats before incidents evolveForecast fraud losses and chargeback volumes for Finance and Risk leadershipDefine and own north-star metrics and KPIs for fraud prevention, ensuring clear and actionable executive reportingAct as the data bridge between Product and the Applied AI team by providing performance feedback for model updates and roadmap prioritizationSupport the evaluation of third-party fraud prevention providers using data-driven vendor assessment criteriaCollaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled according to PII requirementsТребования4+ Years of experience in fraud analytics, risk analysis,



or a closely related payments or trust & safety domainStrong SQL and Python proficiency, including analytical queries across large transactional datasets, monitoring logic, and statistical techniques for fraud and risk problemsExperience designing and maintaining dashboards or alerting systems with clear signal-to-noise disciplineStrong analytical communication skills for turning ambiguous fraud signals into clear, actionable narratives for operational and executive audiencesExperience collaborating with Operations, Engineering, and ProductAbility to use AI tools and agents for analysis while critically evaluating outputs, identifying gaps, and owning conclusionsExperience mentoring junior and mid-level analysts to develop technical skills, analytical judgment, and output qualityNice to have: marketplace or two-sided platform experience, payment processing concepts including chargebacks, dispute flows, authorization rates, and PSP dynamics, exposure to compliance or regulatory frameworks such as PSD2/3, AML, and KYC.УсловияRelocation support is available for joining the Preply Barcelona HubCompetitive financial package with equity, leave allowance, and health insuranceMonthly allowance for lessons on Preply.comLearning & Development budget and time off for self-developmentFree mental health support platformsAccess to Gympass-partnered wellness and gym centers throughout Spain
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📌 data analyst for fraud prevention (Barcelona)
🏢 Enfint
📍 Barcelona