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 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.
What You’ll Be Doing
Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates
Own 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
Partner 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 Succeed
4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain
Strong SQL and Python proficiency, comfortable writi
📌 Senior Data Analyst (Madrid)
🏢 Preply
📍 Madrid