Fraud & Risk Analyst

Lyft · Toronto, Canadasenior

En corto

▸Analista de fraude y riesgo que protege a Lyft frente a estafas en pagos e identidad.
▸Dia a dia: analiza datos, crea reglas y modelos de detección, trabaja con ingenieros y productos para prevenir fraudes.
▸Destacado: trabaja en un equipo clave para mantener la confianza en el mercado de Lyft, con impacto directo en el crecimiento sostenible.

Proficiency in English is required for communication with cross-functional teams and leade

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓5+ años en pagos, marketplaces, comercio electrónico, retail, medios digitales o servicios financieros.
✓Capacidad para analizar datos complejos y extraer insights accionables.
✓Experiencia en la creación y mejora de reglas y modelos de detección de fraude.
✓Habilidad para comunicar resultados y recomendaciones a todos los niveles, incluyendo líderes ejecutivos.
✓Colaboración estrecha con equipos de producto, ciencia de datos e ingeniería.
✓Enfoque en equilibrar prevención de fraude con experiencia positiva para el cliente.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Data analyticsFraud detection strategiesReal-time fraud rulesModelsDashboardsBusiness rulesPayment processOperationsCustomer support agentsExecutive leadership team

¿A quién escribirle en Lyft?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. Responsibilities: • 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 Experience: • 5+ years of experience across payment, marketplaces, e-commerce, retail, digital media or financial services

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