Responsable De Data Analytics
hace 4 semanas
Barcelona, Cataluña
Descripción de la oferta
Liderazgo del Área de Analytics dentro de la Dirección de Compliance de Vidacaixa. La función, apoyándose en el uso efectivo e innovador de la tecnología y los datos para la actividad de identificación, evaluación, supervisión e información, actuará como palanca de transformación del Modelo de Compliance.
- Gestión de la información: Asegurar que se dispone de la información necesaria en el momento adecuado, así como de su análisis para la toma de decisiones, la supervisión y el reporting interno (Alta Dirección y Órganos de Gobierno) y el externo (Reguladores y Supervisores), velando por la calidad del dato y robusteciendo el entorno informacional con el objetivo de mejorar la eficacia de la supervisión de los riesgos.
- Innovación: Impulsar evoluciones disruptivas de la actividad de gestión y control de los riesgos y anticiparnos ante las novedades en términos regulatorios, tecnológicos, de analítica avanzada, modelos y en la irrupción de la inteligencia artificial en la actividad de Compliance.
- Diseño de procesos: Facilitar el cumplimiento normativo mediante procesos robustos que aseguren la trazabilidad y efectividad de los controles establecidos.
- Gestión de proyectos tecnológicos: Asegurar la disponibilidad de tecnología adecuada para garantizar una correcta eficacia en la gestión del modelo de supervisión y control de los riesgos.
- Colaboración continua: Colaborar con las áreas de Analytics de Compliance Caixabank y de Analytics Vidacaixa.
Requisitos:
- Titulación universitaria en Informática, Matemáticas, Estadística, Telecomunicaciones u otra Ingeniería.
- Experiencia de al menos 6 años trabajando en entorno de datos y/o referencia en un ámbito o herramienta data.
- Experiencia en funciones de Auditoría y Control (unidades de Auditoría Externa, Auditoría Interna, Compliance, Consultoría) y conocimiento de modelos.
- Análisis de información: Capacidad analítica y conocimiento de lenguajes de programación (SQL, Python/R) para tratar y transformar bases de datos, obteniendo conclusiones, extrayendo valor de los datos almacenados, y formulando predicciones a través de los patrones observados.
- Data storytelling: Capacidad de interpretar y presentar los datos y modelos con sentido de negocio, transmitiendo análisis y conclusiones realizadas.
- Herramientas de visualización de datos (QlikSense) o herramientas de business intelligence.
- Control de calidad de la información en el reporte a los supervisores.
- Habilidades para la gestión de proyectos de su avance y resultados, especialmente proyectos tecnológicos, de innovación o con componente analítica.
- Conocimiento de herramientas ofimáticas (Office 365).
- Vocación de servicio, proactividad, autonomía y clara orientación a la acción.
- Habilidades de negociación y capacidad de toma de decisiones.
- Habilidades de relación, capacidad de trabajo en equipo y de trabajar de forma transversal en entornos multifuncionales y multidisciplinares.
- Se valorará conocimiento de modelos y herramientas de inteligencia artificial.
Beneficios:
- Flexibilidad horaria de entrada y en la comida.
- Plan de acogida y seguimiento de tu desarrollo profesional.
- Acceso a una plataforma online de formación.
- Jornada intensiva los viernes y durante el verano.
- Modelo de trabajo híbrido.
- Fruta disponible en la oficina.
- 29 días hábiles de vacaciones.
- Plan de Beneficios: plan de pensiones, seguro de salud, seguro de vida, ticket restaurante.
- Retribución flexible aplicado a guardería y/o transporte.
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