Apply your analytical skills as a Fraud Risk Analyst at Lyft, dedicated to enhancing trust and security in a hybrid work setup. Leverage your knowledge in payments and fraud analytics to spearhead effective prevention measures.
As part of the quick-paced PII Analytics team, this role focuses on identifying and mitigating third-party fraud risks. You will work closely with product and engineering teams to establish fraud prevention strategies while ensuring a seamless user experience. This position offers opportunities for cross-functional collaboration and direct impact on the company’s fraud landscape.
Key Responsibilities:
• Implement comprehensive fraud detection and prevention measures
• Collaborate on dashboard creation to measure fraud processes
• Resolve integrity issues in partnership with Product Management
• Provide actionable insights and reports to executives
• Enhance fraud detection capabilities in collaboration with engineering
Requirements:
• 5+ years in e-commerce or fraud analysis
• Bachelor’s degree in quantitative discipline preferred
• Strong expertise in SQL and data querying
• Ability to work independently on projects
• Proven communication skills with executives and teams
Bring your analytical prowess to Lyft and contribute to securing our marketplace and customer experience.
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