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 sustainable way. The team is fast-paced, high-energy, and meticulous in diagnosing emerging fraud patterns and preventing fraud loss before it can happen. We drill holes in all the products we launch and obsess over how to make our business impervious to fraud vectors. The team conducts a rigorous analysis of complex data sets and sets up multiple layers of business rules, models, and other processes to prevent potential fraud. We are a highly cross-functional team and regularly engage in discussion and reviews with stakeholders to prioritize plans for reducing fraud impact and introducing safety features.

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 company’s exposure to financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud in the earliest stages of detection. The Senior Analyst will define fraud prevention measures that are mindful of the impact on good user experience while inhibiting fraud actors’ ability to reach our platform.

This person is quantitatively driven, detail-focused, and operations-savvy while ensuring the best possible customer experience. This individual possesses a high level of subject matter expertise and is experienced in utilizing information generated from fraud patterns, data analytics and business knowledge to identify insights and formulate a response plan. This person will work closely with Product Managers, Data Scientists and Engineers to mitigate and eliminate all forms of fraud. The individual will also work closely with operations teams to define efficient processes and systems for the fraud and customer support agents to resolve fraud issues quickly and meet organizational service-level objectives. 

• →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