Elevate your career as a Senior Fraud Analyst at Lyft, focusing on combating fraud and securing customer safety in a hybrid work setting. Utilize your expertise in SQL and analytics to develop creative fraud prevention strategies.
In this influential role on the Pay, Integrity & Identity Analytics team, you will investigate complex fraud patterns and implement solutions to minimize financial and reputational risks. With a cooperative approach, engage with Product Managers, Data Scientists, and Engineers to develop robust policies and dashboards that enhance fraud detection and operational efficiency.
Key Responsibilities:
• Develop and refine fraud detection strategies and models
• Collaborate across teams to build critical dashboard tools
• Communicate complex information effectively to all stakeholders




• Report metrics and recommendations to senior management
• Create customer-friendly policies that balance user experience and fraud loss
Requirements:
• Over 5 years in fraud or identity risk management
• Bachelor’s in a quantitative field or relevant experience
• Proficient in SQL and Python for data analysis
• Strong project execution with minimal oversight
• Excellent communication skills for diverse audiences
Utilize your quantitative expertise to proactively combat fraud, ensuring Lyft's commitment to customer safety and operational excellence.
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📌 Senior Fraud Analyst At Lyft Toronto (Canada)
🏢 Lyft
📍 Canada