Senior Data Analyst - Fraud Prevention

Senior Data Analyst - Fraud Prevention LocationKyivEmployment TypeFull timeLocation TypeHybridDepartmentDataWe power people’s progress.At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.Meet the team:At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.As Senior Data Analyst – Fraud Prevention, you will be the analytical bridge between Product, Fraud Operations, and the Applied AI team. You will be the expert who turns model outputs and raw signals into actionable intelligence: rules, alerts, forecasts, and metrics that keep Preply’s marketplace safe and trustworthy.Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you’ll be doingWork with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive ratesOwn the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer workingPartner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements.Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate.Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure.Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level.Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation.Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments.Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements.What you need to succeed4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain.Strong SQL and Python proficiency being comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problemsExperience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline.Strong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences.Experience collaborating with cross-functional teams including Operations, Engineering, and Product.Ability to leverage AI tools and agents as a force multiplier for analysis, while maintaining the critical thinking to interrogate outputs, spot gaps, and own the...