Fraud and Risk Specialist

Lyft · Nashville, TNmid

In short

▸Analista de fraude y riesgo que detecta patrones y protege a Lyft de estafas.
▸Revisa queues diarias, mejora reglas de fraude y colabora con múltiples equipos.
▸Destaca por su enfoque proactivo y centrado en el equilibrio entre seguridad y experiencia del usuario.

No se requiere inglés.

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What they ask for

✓Experiencia de 1-2 años en fraudes o riesgo en pagos, banco o mercado online.
✓Titulación en Ciencias, Estadística, Operaciones o Administración de Empresas.
✓Capacidad para detectar patrones y resolver problemas con enfoque analítico.
✓Habilidades sólidas en SQL (nivel básico a intermedio).
✓Trabajo efectivo en entornos de alta presión y múltiples equipos.
✓Orientación al detalle y manejo eficaz del tiempo.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLAnalyticsCXTrustBusiness rulesFraud detection modelsData analyticsService-level objectivesInternal escalationsCross-functional collaboration

Who should you write to at Lyft?

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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 Fraud and Risk Analytics team is charged with providing and ensuring that trust and safety to all customers. The Fraud and Risk 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. 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. The individual will also work with the operations team to define efficient processes and systems for the fraud and customer support agents to resolve fraud issues quickly and meet organizational service-level objectives. Responsibilities: • Conduct meticulous daily reviews of fraud queues to minimize financial loss and maintain organizational service-level objectives. • Take full ownership of performance outcomes by clarifying objectives and utilizing sound business judgement to formulate proactive solutions. • Serve as a rotating on-call specialist responsible for managing complex internal escalations across multiple communication channels. • Independently analyze and monitor false positive trends to iteratively refine business rules and fraud detection models. • Engage with Analytics, CX, and Trust stakeholders to resolve false positives and ensure a seamless experience for legitimate community members. • Partner with leadership to provide constant feedback, leveraging a trial-and-error approach to strengthen fraud protections and reduce friction. Experience: • BA/BS; degrees in analytical fields such as Computer Science, Statistics, Operations, Business Administration, a plus. • 1-2 years of experience in a fraud or risk monitoring role at a payments company, bank, or online marketplace. • A strong passion for Lyft’s mission and the ride sharing community. • Detective-like mentality; you want to help customers but also maintain strong risk protections. • Ability to spot patterns, solve problems, and identify things that just don’t look right. • Beginner to Intermediate experience in SQL a plus. • Have a bias towards action in resolving issues and perform in a high-energy, fast-paced environment • Ability to provide a high-level of detail in every action • History of effectively working with multiple teams to build new capability and implement projects • Strong time management skills Benefits: •

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