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. As a category-defining company, we're shaping what the future of learning looks like at integral 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. 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.

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. Visit our Tech Radar to learn about the technologies we use at Preply! 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 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. 4+ 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 problems ~ 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 Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC). Why you'll love it at Preply Com, Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance;

We offer an attractive relocation package to join us in our Preply Barcelona Hub We do it for learners - For both Preply and tutors, learners are why we do what we do. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act.

Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree.

We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

📌 Senior Data Analyst (SQL & Python) (Galicia)
🏢 Preply
📍 Galicia