Fraud Analyst (Ad Tech, Ad Fraud)

Spider AF is seeking an experienced Ad Fraud Analyst to join our growing team and contribute to the development and execution of strategies to detect, prevent, and mitigate ad fraud. This role presents an exciting opportunity to work in the fast-evolving field of ad fraud prevention, helping businesses safeguard their digital advertising investments while ensuring marketing performance integrity. The Ad Fraud Analyst will play an important role in analyzing large datasets, uncovering fraudulent patterns, and collaborating with cross-functional teams to deliver cutting-edge fraud protection solutions.

Responsibilities

• Fraud Detection & Prevention : Monitor ad traffic, campaigns, and user interactions to identify fraudulent activities, using advanced analytics tools and detection systems.
• Pattern Recognition & Data Analysis : Investigate datasets for patterns or trends that highlight potential fraud, providing actionable insights to improve fraud prevention measures.
• Collaboration with Engineering Team : Work closely with engineers to improve the collection, cleaning, and processing of large datasets from various advertising platforms & types of ad campaigns.
• Development of Detection Models: Create and implement algorithms, models, that detect and mitigate ad fraud, including machine learning (ML) methods for scalable prod-ready solutions.
• Cross-Functional Collaboration : Collaborate with product, engineering, sales, and customer success teams to integrate fraud prevention features into the product and ensure a seamless user experience & clarity.
• Reporting & Data-Driven Decision Making : Leverage metrics and analytics tools (e.g., BigQuery, SQL) to monitor fraud trends and generate reports to inform business decisions and product improvements.

Requirements

• Professional Experience : Minimum of 3+ years of experience in fraud detection and prevention, data analysis, or related roles within Ad Tech, Digital Advertising, or MarTech industries.
• Domain Knowledge : Strong understanding of ad fraud detection techniques, including click fraud, bot traffic, IVT & SIVT classification, and other types of fraudulent activities.
• Technical Skills : Proficiency in data analytics tools such as SQL, Python, and Google BigQuery. Familiarity with machine learning techniques, ideally using weak supervision and automated data labeling, techniques., production-ready data pipelines.
• End-to-end ownership of your work : from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring. Take full ownership of your projects, encompassing all stages: prototyping, debugging, evaluation, optimization, production deployment.
• Analytical Skills : Strong ability to analyze large datasets, identify patterns, and solve complex fraud-related problems.
• Communication Skills : Ability to clearly communicate complex fraud patterns to both technical and non-technical stakeholders. Proficient in both written and verbal English communication.

Nice to haves

While not specifically required, tell us if you have any of the following.

• Intermediate Japanese Ability (N2/N3)
• Attribution Models & Campaign Optimization: Knowledge of attribution models, programmatic advertising, and how fraud impacts campaign performance.
• Experience with Mobile/Online Ads: Understanding of both mobile and desktop ad fraud scenarios and prevention methods.

Compensation

¥6,120,000 ~ ¥8,640,000 annually.