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Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About the role and the team
We are looking for a Senior 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.
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.
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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 [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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Skills Required
- Demonstrable ability to independently identify and solve complex problems
- Good experience in data analysis on large-scale datasets
- Solid understanding of risk domains such as fraud, abuse, or payments
- Advanced SQL skills for data manipulation
- Proficiency in Python for data analysis
- Experience with data visualization tools such as Tableau or Grafana
- Communication skills in English for explaining complex topics
- Experience presenting insights to business partners
- Hands-on experience with fraud detection or payments risk
- Familiarity with machine learning concepts
- Background in building data pipelines and data infrastructure
eBay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.
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Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
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Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
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Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.
eBay Insights
What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.
