About the role
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Ensuring Authenticity for Billions of Daily Rewards
Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence.
The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users.
Your Mission & Who We Are Looking For
- A data analyst with a strong technical foundation. You have 4+ years of experience in Data Analytics and work fluently in both SQL and Python, writing complex queries, big data optimization and building reliable analysis pipelines.
- Experienced in anomaly detection. You have 1+ years of hands-on experience developing and validating detection approaches, balancing fraud detection effectiveness with false positives and business impact.
- An investigator by nature. You turn ambiguous problems into structured investigations, uncover suspicious patterns, and validate hypotheses to distinguish genuine fraud signals from noise.
- Statistically grounded. You understand experimentation, hypothesis testing, and statistical concepts to validate findings and draw sound conclusions.
- You own the solution, not just the analysis.You translate validated insights into effective detection logic and automated monitoring that improves fraud prevention at scale.
- Automation-minded. You build reusable analytical frameworks and pipelines that improve efficiency and reliability. Experience with Airflow or dbt is a plus.
- Collaborative and business-aware. You translate complex findings into actionable recommendations, communicate clearly with stakeholders, and take ownership of your impact.
- Anti-fraud experience is a big plus. Experience in fraud detection, risk analytics, or abuse prevention ideally in adtech, gaming, fintech, or similar high-volume digital environments is highly valued.
A quick note before you apply: This role is quite hands-on, so experience with anomaly detection and strong practical skills in both SQL and Python are essential. If you’re still building experience in these areas, this particular role might not be the right fit just yet — but we appreciate your interest in adjoe!
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s In It For You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.