Backoffice Anti-Fraud Analyst

DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.

DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.

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Buscamos un Backoffice Anti-Fraud Analyst para unirse a nuestro equipo de Risk & Fraud Operations en DiDi. En este rol analítico y operativo, serás responsable de evaluar el riesgo de los usuarios desde su registro, ejecutar verificaciones profundas de KYC adaptadas al mercado mexicano y analizar flujos transaccionales complejos para proteger nuestro ecosistema financiero y soluciones de pago. Mitigarás riesgos a lo largo del ciclo de vida del usuario identificando intentos de fraude sintético, detectando patrones de toma de control de cuentas (ATO) y monitoreando transacciones SPEI procesadas a través de STP, al mismo tiempo que validarás señales de logística/envíos e inteligencia de dispositivos.

Supervisarás el flujo de verificación en onboarding evaluando credenciales de identificación mexicanas (elementos y candados de seguridad de INE/IFE) para prevenir el fraude sintético y la creación de cuentas no autorizadas. De manera paralela, monitorearás el comportamiento transaccional para detectar anomalías de toma de control de cuenta (ATO), riesgos de First-Party Fraud y actividades sospechosas en canales de pago STP/SPEI. Tu análisis abarcará el rastreo de datos logísticos y el cruce de huellas digitales de dispositivos, clústeres de IP y coincidencia de datos para desmantelar redes de fraude sin impactar la experiencia de los usuarios legítimos.

Buscamos un perfil analítico, resolutivo y con alto sentido de pertenencia, capaz de tomar decisiones precisas en tiempo real bajo entornos de alto volumen. Valoramos tu capacidad para identificar patrones atípicos donde otros ven coincidencias simples, tu agilidad para adaptarte a nuevas vectorizaciones de riesgo en la industria Fintech y tu compromiso para construir una experiencia de usuario segura y confiable.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

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