Описание

Preply 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. Задачи

Work with ML model outputs to improve fraud prevention decisions while balancing detection coverage and false-positive rates Own the fraud rule lifecycle by designing, testing, maintaining, and retiring prevention rules Partner with Fraud Operations to identify emerging abuse patterns and translate operational observations into analytical improvements Design and maintain alerting systems that identify threats before incidents evolve Forecast fraud losses and chargeback volumes for Finance and Risk leadership Define and own north-star metrics and KPIs for fraud prevention, ensuring clear and actionable executive reporting Act as the data bridge between Product and the Applied AI team by providing performance feedback for model updates and roadmap prioritization Support the evaluation of third-party fraud prevention providers using data-driven vendor assessment criteria Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled according to PII requirements Требования

4+ Years of experience in fraud analytics, risk analysis,



or a closely related payments or trust & safety domain Strong SQL and Python proficiency, including analytical queries across large transactional datasets, monitoring logic, and statistical techniques for fraud and risk problems Experience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline Strong analytical communication skills for turning ambiguous fraud signals into clear, actionable narratives for operational and executive audiences Experience collaborating with Operations, Engineering, and Product Ability to use AI tools and agents for analysis while critically evaluating outputs, identifying gaps, and owning conclusions Experience mentoring junior and mid-level analysts to develop technical skills, analytical judgment, and output quality Nice 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. Условия

Relocation support is available for joining the Preply Barcelona Hub Competitive financial package with equity, leave allowance, and health insurance Monthly allowance for lessons on Preply.com Learning & Development budget and time off for self-development Free mental health support platforms Access to Gympass-partnered wellness and gym centers throughout Spain

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📌 data analyst for fraud prevention (Madrid)
🏢 Enfint
📍 Madrid