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Fraud Prevention Specialist
3 months ago
Company Overview:
At Lyft, we are dedicated to enhancing lives through exceptional transportation solutions. Our commitment begins with fostering a diverse, inclusive, and open community within our organization.
Role Overview:
The Fraud and Risk Analytics team plays a pivotal role in maintaining trust and safety within the Lyft marketplace. This team is essential in safeguarding our customers and supporting sustainable growth for the company. Operating in a dynamic and energetic environment, we focus on identifying emerging fraud patterns and proactively preventing potential losses. Our meticulous approach ensures that every product we launch is thoroughly vetted against possible fraud vectors.
Key Responsibilities:
- Design, implement, and enhance comprehensive strategies for fraud detection, including real-time rules and models, in collaboration with relevant teams.
- Support cross-functional teams in developing critical dashboards and tools to assess the effectiveness of payment processes and operations.
- Work closely with Product Management, Data Science, Engineering, and Operations to address identity and integrity issues.
- Effectively communicate complex information, both verbally and in writing, to various audiences, including executive leadership.
- Deliver enhancements to fraud detection and mitigation efforts, prioritizing development in partnership with product management and engineering.
- Report on overall status, key business metrics, and provide solution recommendations to senior management.
- Establish business cases and projected ROI for fraud-related investments.
- Create robust, user-friendly policies that balance user experience with fraud loss prevention.
- 5+ years of experience in payment, marketplaces, e-commerce, retail, digital media, or financial services, with a preference for fraud or identity experience.
- Bachelor's degree in a quantitative field or equivalent professional experience.
- Proficiency in SQL, SAS, R, Python, or similar programming languages for data querying and analysis.
- Demonstrated ability to resolve issues proactively in a fast-paced environment.
- Strong communication skills, with the ability to articulate complex analyses clearly.
- Proven track record of managing multiple projects and collaborating effectively across departments.
- Ability to conduct in-depth analysis with a structured problem-solving approach.
- Excellent organizational skills, including time management and meeting deadlines.
- Comprehensive health and dental coverage options, including life insurance and disability benefits.
- Mental health support services.
- Family-building assistance.
- Access to a Health Care Savings Account.
- Generous paid time off policy, including 15 days of PTO, with additional days for each year of service.
- Floating holidays and paid sick leave.
- Paid parental leave for all types of parents.