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.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 requirementsТребования- 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#J-18808-Ljbffr

📌 Data Analyst For Fraud Prevention (Barcelona)
🏢 Enfint
📍 Barcelona