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

📌 Data Analyst (Barcelona)
🏢 Enfint
📍 Barcelona