Fraud Analyst

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

At Almedia, you’ll:

• Own way more, way earlier — you’ll be trusted with responsibility fast.

• Push harder, get further — this isn’t a 9–5. We highly reward intensity.

• Join a rare environment — you will work with ambitious high-speed, high-ownership people.

• Fully present — we’re 5 days a week in the office to build the energising momentum we need.

We are seeking a highly analytical and detail-oriented Fraud Analyst to join our team. In this role, you will be responsible for analyzing transactional data, identifying patterns of suspicious activity, and supporting fraud prevention strategies. You will collaborate closely with Support, Account Management, and Data teams to build processes that reduce fraud exposure while ensuring a seamless customer experience.

What You’ll Do 🎯

• Monitor, analyze, and investigate accounts and behavioural data to identify potential fraud.

• Use SQL to extract, manipulate, and analyze large datasets for fraud detection and prevention.

• Develop and maintain dashboards, reports, and fraud monitoring tools

• Support the creation of fraud detection rules and alerts.

• Work cross-functionally with account management, data, product, and engineering teams to improve fraud controls.

• Document and report findings, providing actionable insights to stakeholders

• Assist in identifying emerging fraud trends and recommend proactive countermeasures.

What You’ll Bring 💡

• Bachelor’s degree in Data Analytics, Finance, Economics, Statistics, Computer Science, or a related field (or equivalent experience).

• Advanced Problem-Solving: A proven ability to troubleshoot, diagnose, and provide effective, solution-oriented resolutions for challenging or technical user issues in a timely manner.

• Data Orientation: Experience analyzing large datasets and identifying trends or anomalies. Proficiency in SQL for data querying and analysis. Experience with Python or R for data analysis, statistical modeling, or machine learning is a strong plus.

• Process Improvement: Demonstrated experience in meeting or exceeding KPIs, multi-tasking effectively, prioritising your workload, and contributing to improving existing processes.

• Excellent written and verbal communication skills with fluency in English.

What Makes You a Great Fit 🌟

• You are a proactive problem-solver who thrives on transforming complex issues into positive experiences, acting as a true expert.

• You possess a calm, empathetic demeanor even when facing challenging situations.

• You are driven by impact, eager to contribute not just to individual resolutions but also to the continuous improvement of our overall quality and strategic operations.

• You are a natural collaborator, ready to both learn and lead, working closely with the Fraud Lead and managing relationships with external partners in a fast-changing environment.

Why Almedia? 🚀

• Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.

  Scale With Almedia: Grow alongside a startup that has been profitable from day one.

  Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.

  Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.

  We Listen: We regularly add to our benefits through rigorous employee feedback.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.