Senior Manager, Data Analytics

Job DescriptionWe are on the lookout for a Senior Manager, Data Analytics (Fraud Prevention) to join the Fintech team on our journey to always deliver amazing experiences. Be part of building the financial backbone of Delivery Hero. You’ll develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across 70+ countries.In this role you will:Lead the strategy, development, and execution of a high-performing team of data analysts, driving a deeper understanding of payments, refunds, and incentives amounting to billions of eurosPartner closely with AntiFraud Business, Product, and Tech stakeholders to understand the analytical needs of Risk Domain and set the roadmap for analytics workGuide deep data analysis and the development of data products that drive meaningful business impact and enable data-informed decision-makingCollaborate closely with the Data Science team to support the development and evaluation of fraud prevention models and creative data solutionsAdvocate for experiment-driven decision making, set up sophisticated AB tests, and use the results to drive better fraud prevention strategiesEngage with senior leadership and key stakeholders to communicate the insights in written and verbal formQualificationsWhat you need to be successful You have experience leading data analytics teams and delivering measurable impact on improving understanding of fraud patterns and efficiency of fraud prevention toolsYou can lead strategic and tactical planning to balance priorities of the business, internal clients, and the teamYou have a strong background in fraud prevention and know how to strike the balance: keeping fraudsters out while making sure legitimate customers have the best experienceYou understand deeply how to run AB tests to continuously improve fraud prevention strategies through statistical hypothesis testingYou can create processes and collaborate with teams to make sure the team enters a virtuous cycle of improvementsYou have proven experience with daily practice of SQL, Python, and visualization tools such as Tableau, and Looker Nice To Have:Experience with BigQuery and AirflowGood understanding of machine learning training and inference lifecycle including automated retraining pipelinesAdditional InformationWhat’s in it for youEnsuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a weekWe offer 27 days holiday with an extra day on 2nd and 3rd year of serviceWe will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle SubsidyCash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension PlanThe power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.