Fraud & Risk Analyst @ Lyft
placeToronto, ON
attach_money CA$120,000
businessOn Site
scheduleFull Time
Posted 20 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @lyft.com
Recommended after applying
Job Details
Overview
At Lyft, our purpose is to serve and connect. The Fraud & Risk Analyst role is central to ensuring trust and safety across the Lyft marketplace. This role is part of the Fraud and Risk Analytics team which works fast-paced, high-energy, and meticulously detects and prevents fraud losses.
Responsibilities
- Develop and implement fraud detection strategies and real-time fraud rules.
- Support cross-functional teams in building dashboards and measurement tools.
- Collaborate with Product Management, Data Science, Engineering, and Operations.
- Communicate complex information effectively across all organization levels.
- Enhance ATO detection and mitigation plans and establish effective business cases.
- Create robust, customer-friendly policies balancing fraud prevention with user experience.
Experience & Skills
Candidates should have 5+ years of experience with expertise in fraud/identity and strong technical skills in SQL, SAS, R, Python or similar. Excellent communication, strong organizational skills, and the ability to work across teams is essential.
Benefits
- Extended health, dental, life insurance, and disability benefits.
- Mental health, childcare, and family building benefits.
- Flexible paid time off and commuter benefits.
- Hybrid work model with in-office expectations 3 days per week.
Key skills/competency
- Fraud Prevention
- Risk Analysis
- Data Analytics
- SQL
- Python
- Cross-functional Collaboration
- Communication
- Dashboarding
- Problem Solving
- Customer Experience
How to Get Hired at Lyft
🎯 Tips for Getting Hired
- Customize Resume: Tailor experiences with fraud prevention skills.
- Research Lyft: Understand their mission, culture, and recent initiatives.
- Highlight Technical Skills: Emphasize SQL, Python, and data analysis.
- Prepare Examples: Show case studies of fraud mitigation projects.
- Practice Communication: Be ready for executive-level discussions.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query techniques and data extraction.
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Brush up on Python and statistical modeling.
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Practice using SAS/R for data analytics.
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Analyze case studies on fraud prevention methods.
Behavioral Questions
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Describe a time you solved a complex problem.
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Explain handling cross-functional collaboration challenges.
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Discuss managing multiple projects simultaneously.
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Share an example of clear, effective communication.
Frequently Asked Questions
What prior fraud experience is valued at Lyft for the Fraud & Risk Analyst role?
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How does Lyft support a work-life balance for the Fraud & Risk Analyst position?
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What technical skills are required for a Fraud & Risk Analyst at Lyft?
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How will the Fraud & Risk Analyst collaborate with other teams at Lyft?
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Is in-office presence mandatory for the Fraud & Risk Analyst role at Lyft?
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