About the role and the team
We are looking for a Risk Analyst to join our team and help drive data-informed decisions across the Risk ecosystem, including buyer and seller risk, fraud prevention, payments, and shipping-related risks.
In this role, you will go beyond traditional analytics – you will own complex problems end-to-end, from identifying risk gaps to designing, implementing, and validating scalable solutions. You will work with large and complex datasets to uncover patterns, detect emerging risks, and translate insights into actionable strategies that protect the platform while supporting business growth and customer experience.
You will collaborate primarily with Risk Policy teams and Data Scientists, as well as multi‑functional partners, to develop and optimize risk strategies. You will regularly present insights, recommendations, and trade‑offs to business and technical audiences, influencing decision‑making through data‑driven storytelling. You will also use advanced methods for monitoring, detection, and continuous improvement via AI.
What You Bring
Demonstrable ability to independently identify and solve complex problems, driving them from discovery to measurable impact.
Good experience in data analysis on large-scale datasets, including identifying patterns, anomalies, and root causes.
Ability to translate ambiguous business challenges into structured analytical approaches and actionable solutions.
Solid understanding of risk domains such as fraud, abuse, buyer/seller behavior, payments, or operational risk.
Advanced SQL skills and experience with data manipulation and optimization.
Proficiency in Python for data analysis, automation, or ETL workflows.
Experience with data visualization tools (e.g., Tableau, Grafana) to communicate insights effectively.
Experience using AI/ML-based tools or signals for monitoring, anomaly detection, or decision support.
Strong ability to define metrics, build monitoring frameworks, and evaluate impact through data and experimentation.
Superb communication skills in English, with the ability to explain complex topics to both technical and non‑technical audiences.
Experience presenting insights and recommendations to business partners, translating complex analysis into clear, actionable narratives.
What Would Be a Benefit
Experience in e‑commerce, marketplaces, or Trust & Safety / Risk environments.
Hands‑on experience with fraud detection, payments risk, seller risk, or logistics/shipping risk.
Familiarity with machine learning concepts and applying model outputs in real‑world decision‑making.
Experience designing or improving risk rules, policies, or decision systems.
Background in building or maintaining data pipelines and data infrastructure.
Experience mentoring others or contributing to team knowledge sharing and best practices.
Ability to influence without authority, manage expectations, and ensure adoption of solutions.
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com.
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