job description
Join Google’s Trust & Safety team as an Engineering Analyst and play a pivotal role in safeguarding the integrity of digital advertising ecosystems. In this high-impact position, you’ll leverage data-driven insights to investigate and mitigate ad abuse, fraud, and policy violations across Google’s publisher monetization platforms. Your work will directly contribute to maintaining a secure, fair, and trustworthy environment for advertisers, publishers, and users worldwide.
Based in the vibrant and culturally rich regions of Bali, Indonesia (Canggu, Ubud, Denpasar, and more), you’ll collaborate with cross-functional teams to develop scalable solutions that detect and prevent malicious activities. This role is perfect for analytical minds passionate about cybersecurity, fraud detection, and digital trust—offering the chance to work on cutting-edge challenges while enjoying the flexibility of a remote-first work environment in paradise.
At Google, we empower our teams with world-class resources, professional growth opportunities, and a culture that values innovation, diversity, and work-life balance. If you’re ready to make a tangible impact in the fight against digital fraud, we’d love to hear from you.
Responsibility
- Investigate and analyze complex ad abuse, fraud, and policy violation cases using large-scale data sets and advanced analytical tools.
- Develop and implement automated detection systems to proactively identify and mitigate fraudulent activities in publisher monetization.
- Collaborate with engineering, product, and legal teams to refine policies and improve system resilience against emerging threats.
- Create detailed reports and dashboards to communicate findings, trends, and recommendations to stakeholders.
- Monitor and assess global ad traffic patterns to detect anomalies and potential risks in real time.
- Design and execute A/B tests and experiments to evaluate the effectiveness of fraud prevention strategies.
- Stay ahead of industry trends in ad fraud, cybersecurity, and digital trust to inform proactive solutions.
- Provide technical mentorship and knowledge-sharing to junior analysts and cross-functional partners.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related technical field (or equivalent practical experience).
- 3+ years of experience in data analysis, fraud detection, or trust and safety within digital advertising, fintech, or cybersecurity.
- Proficiency in SQL, Python, or R for data extraction, manipulation, and statistical analysis.
- Experience with big data tools (e.g., BigQuery, Spark, Hadoop) and visualization platforms (e.g., Tableau, Looker).
- Strong understanding of ad tech ecosystems, including programmatic advertising, RTB (Real-Time Bidding), and publisher monetization.
- Familiarity with machine learning models for anomaly detection and predictive analytics (a plus).
- Excellent problem-solving and communication skills, with the ability to translate complex technical findings for non-technical audiences.
- Passion for digital trust, cybersecurity, and ethical data practices.