ppAt 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 we’re creating real impact. We’ve reached unicorn status with a $150M Series D, accelerating our vision to transform education through human‑led, AI‑enhanced learning. 100,000+ tutors teach 90+ languages to learners in 180 countries, and we’re only getting started. /p h3What You’ll Be Doing /h3 ul liWork with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates /li liOwn 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 working /li liPartner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements /li liDesign and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate /li liForecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure /li liDefine and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level /li liAct as the data bridge between Product and the Applied AI team – providing performance feedback that informs model updates and roadmap prioritisation /li liSupport the evaluation of third‑party fraud prevention providers,



bringing data‑driven criteria to vendor assessments /li liCollaborate with Data and Analytics Engineering to ensure fraud‑related data is tracked, governed, and handled in line with PII requirements /li /ul h3What You Need To Succeed /h3 ul li4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust safety domain /li liStrong SQL and Python proficiency, comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems /li liExperience designing and maintaining dashboards or alerting systems with clear signal‑to‑noise discipline /li liStrong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences /li liExperience collaborating with cross‑functional teams including Operations, Engineering, and Product /li liAbility 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 conclusions /li liExperience mentoring junior and mid‑level analysts, helping them grow their technical skills, develop analytical judgement,



and raise the quality of the team’s output /li /ul h3Nice to have /h3 ul liPrior experience working in a marketplace or two‑sided platform /li liExperience with payment processing concepts – chargebacks, dispute flows, authorisation rates, PSP dynamics /li liExposure to compliance or regulatory frameworks (PSD2/3, AML, KYC) /li /ul h3Why you’ll love it at Preply /h3 ul liAn open, collaborative, dynamic and diverse culture /li liA generous monthly allowance for lessons on Preply.com, Learning Development budget and time off for your self‑development /li liA competitive financial package with equity, leave allowance and health insurance /li liNot in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub /li liAccess to free mental health support platforms /li liAccess to Gympass‑partnered wellness and gym centres throughout Spain to promote and support well‑being and physical health /li liThe opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) /li /ul pPreply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed‑Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. /p /p #J-18808-Ljbffr

📌 Senior Data Analyst - Fraud Prevention (Barcelona)
🏢 Preply
📍 Barcelona