Senior Data Analyst - Fraud Prevention
Preply
We 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 Doing
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.
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 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.
- 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
- 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
- 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).
- 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;
- Access to free mental health support platforms;
- The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
- Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
- We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
- 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. Now is the time to make great things happen.
- Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
- Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
- Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
- Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
- Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
- One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
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.
Як відгукнутися?
Щоб відгукнутися на цю вакансію, вам необхідно авторизуватися на нашому сайті. Якщо у вас ще немає облікового запису, будь ласка, зареєструйтесь.
Розмістити резюмеСхожі вакансії
Middle Reporting Analyst - Platform
SKELAR,
Київ,
5 годин тому
Що варто знати про SKELAR? Це венчур-білдер — іншими словами, компанія, яка будує компанії. З нами фаундери створюють consumer-бізнеси, які стають лідерами на глобальних ринках EdTech, Mental health, Petcare, FashionTech та інших. Скеларівці будують tech-продукти, які здобувають відзнаки від Product Hunt, The Webby Awards та отримують тисячі позитивних відгуків на TrustPilot. Загалом tech-продуктами наших бізнесів користуються 10+ млн людей у...
Customer Care Associate Ukraine
Opella,
Київ,
1 день тому
At Opella, we simplify self-care for real people. As a Quality Manager / GDP Responsible Person , you become part of that mission – turning ideas into products that actually reach hands and homes. This role is where precision, consistency, and accountability come together to support our self-care revolution. About The Job We are looking for a Customer Care Associate...
Supply Chain Analytics & Systems Key User
Mars,
Київ,
3 дні тому
Job Description Аналітика операцій Supply Chain Розробляти та підтримувати регулярну управлінську звітність щодо ефективності логістики та Кастомер Сервіс. Аналізувати ключові операційні показники Supply Chain (OTIF, Service Level, Lead Time, Order Fulfilment, Backlog, Inventory KPIs). Виявляти причини операційних відхилень та формувати рекомендації щодо підвищення ефективності логістичних процесів. Аналізувати ефективність транспортних операцій, складської продуктивності та витрат на логістику (cost-to-serve). Аналітика логістичних партнерів...