Fraud & Risk Analyst

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Trust and confidence is fundamental to the Lyft marketplace, and the Pay, Integrity & Identity (PII) Analytics team is charged with providing and ensuring that trust and safety to all customers. The PII Analytics team is one of the most critical teams that helps protect Lyft and enables the company to grow in a sust...

We’re looking for a rock-star to join a fast-paced environment to contribute to Fraud-related analysis and operations. This individual is responsible for investigating and developing solutions to prevent and mitigate third party fraud. This person will proactively identify fraud patterns and sources to minimize the ...

Develop, implement, and improve comprehensive fraud detection strategies, real-time fraud rules and models directly and in collaboration with relevant teams.
Support cross functional teams to build-out critical dashboards and tools to measure effectiveness of payment process, operations and new programs
Collaborate with Product Management, Data Science, Engineering and Operations to resolve identity or integrity issues and other escalations
Able to communicate complex information both verbally and in writing, effectively with audiences at every level, including executive leadership team, partners, and individual contributors.
Report overall status, primary business metrics, key issues and solution recommendations and plans to senior management and executives
Establish business cases and projected ROI on investments to prioritize opportunities related to fraud programs
Deliver enhancements to Lyft fraud detection and mitigation, communicate and prioritize development in collaboration with product management and engineering teams
Create robust and customer-friendly policies to reduce user friction along with balancing fraud loss 
5+ years of experience across payment, marketplaces, e-commerce, retail, digital media or financial services industries. Fraud, payments or Identity experience is preferable, especially in the merchant risk domain. (8+ years experience for Senior)
Bachelor’s degree in a quantitative field or relevant work experience 
Expertise in SQL, Python or other programming language to query data and perform analysis
Have a bias towards action in resolving issues and perform in a high-energy, fast-paced environment
Ability to execute projects independently with minimal oversight
Strong communication skills; Clearly articulate complex analysis through presentations and writing
Ability to prioritize competing projects among departments, history of effectively working with multiple teams to build new capability and implement projects
Effectively manage senior executive asks and provide written and verbal communication to them
Ability to ‘Dive Deep’ with a structured approach to problem solving
Excellent cross-group collaboration skills, ability to impact and influence outcomes in matrixed environment
Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines