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 writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems

Experience 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 conclusions

Experience mentoring junior and mid‑level analysts, helping them grow their technical skills,



develop analytical judgement, and raise the quality of the team’s output

Nice to have

Prior experience working in a marketplace or two‑sided platform

Experience with payment processing concepts – chargebacks, dispute flows, authorisation rates, PSP dynamics

Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC)

Why you’ll love it at Preply An open, collaborative, dynamic and diverse culture A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self‑development A competitive financial package with equity, leave allowance and health insurance

Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub

Access to free mental health support platforms

Access to Gympass‑partnered wellness and gym centres throughout Spain to promote and support well‑being and physical health The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

Preply.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.

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