Risk Strategy Analyst at eBay

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

150100.0

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk management, Fraud detection, Data analytics, SQL, Python, R, AI tools, Quantitative analysis, Strategic planning, Business requirement documentation, Stakeholder management, Storytelling, Marketplace risk, Data-driven decision-making

Industry

technology;Information and Internet

Description

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. 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 team and the role: The Risk function at eBay works to ensure phenomenal experiences when buyers and sellers come together on the world’s biggest marketplace. It involves fully understanding Payments & Risks on the platform. The team identifies opportunities and helps build scalable solutions that improve user experience. Our mission is to eliminate bad actors, prevent impacting good customer experience, and bolster confidence across the platform, encouraging both buyer and seller growth. As part of this dynamic team, you will provide quantitative risk intelligence that enables robust, scalable risk decisions—balancing initiative health, steady growth, and excellent customer experience. This role demands urgency, a curious attitude, and a strong analytical approach to drive optimized strategies for risk management. What you will accomplish: Improve and expand Risk Management strategies to ensure efficient payments to good sellers and strategic management of potential risks. Leverage AI tools and analytics to identify fraudulent activities and implement protective measures. Collaborate cross-functionally to develop and test innovative risk strategies that secure trust in our marketplace. Analyze data to uncover insights and drive decision-making, optimizing the efficiency of risk management strategies. Translate the business requirement documents to practical risk strategy with measurable outcomes and operational guardrails Contribute to the team's growth by sharing analytical insights and encouraging a culture of curiosity and continuous improvement. What you will bring: Dedicated to the Hybrid Work Model, working onsite at our Austin, Texas office or our Salt Lake City, Utah office. A degree or comparable experience in a quantitative field is necessary. Either a BS with 5-7 years of experience or an MS with 3-5 years of relevant experience qualifies. Familiarity with AI tools for fraud detection is also required. 1+ years in marketplace risk and fraud detection is a plus. Over 3 years engaged in data analytics, or equivalent analytical functions. Commitment to identifying and closing gaps used by fraudulent actors to protect the platform. Proven ability to derive strategic insights from data, test new strategies, and communicate performance optimally. Experience in drafting business requirement documents and driving product initiatives to successful implementation. Proven evidence of ownership and urgency Strong analytical skills with experience in SQL, Python, and R, paired with a passion for data-driven decision-making. Excellent storytelling skills, using analytical insights to engage and advise stakeholders effectively. #LI-JG1 Additional Details The base pay range for this position is expected in the range below: $86,800 - $150,100 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. 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. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

Responsibilities

The analyst will develop and implement risk management strategies to prevent fraudulent activity and ensure a secure marketplace experience. They will collaborate cross-functionally to analyze data, drive product initiatives, and optimize risk decisions using AI and quantitative insights.