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Financial Crime Data Analytics
hace 3 meses
Country:
Spain
WHAT YOU WILL BE DOING
SANTANDER DIGITAL SERVICES está buscando un/a Financial Crime Data Analyst & Model Analyst para nuestras oficinas en Boadilla del Monte.
POR QUÉ DEBERÍAS CONSIDERAR ESTA OPORTUNIDAD
En Santander Digital Services (SDS), el brazo de tecnología y operaciones de Santander, estamos convencidos de la importancia de que la tecnología esté alineada a las necesidades de negocio y de que nuestro trabajo aporte valor a los usuarios, personas y comunidades, así como que fomente la creatividad de las personas.
Nuestro equipo lo formamos más de 7.000 personas presentes en 8 países (España, Portugal, Polonia, Reino Unido, Estados Unidos, México, Chile y Brasil), desarrollando y/o implantando soluciones financieras en un amplio espectro de tecnologías (Blockchain, Big Data o Angular entre otras) sobre todo tipo de plataformas, on-premise y Cloud.
Adoptamos una sólida cultura de riesgos y esperamos que todos nuestros profesionales, independientemente del puesto que ocupen, tengan una actitud proactiva y responsable hacia la gestión de riesgos.
Santander se enorgullece de ser una organización donde nos preocupamos del desarrollo de las personas y donde hay igualdad de oportunidades, independientemente de raza, sexo, religión, edad, orientación sexual, estado civil discapacidad, nacionalidad o identidad de género.
QUÉ HARÁS EN TU TRABAJO
Como
Financial Crime Data Analyst & Model Analyst **, tu objetivo será colaborar en la implantación de un proyecto Global para la detección Crimen Financiero
Necesitamos a alguien como tú para que nos ayude en distintos ámbitos:
- Administración de las herramientas de detección del Crimen Financiero
- Implantación del modelo de Reporting, construcción de métricas, arquitectura y explotación,
- Calibración de las herramientas y ejercicios de Stress
- Implementación de controles, ejecución y levantamiento de incidencias
- Seguimiento de auditorías y respuesta a los distintos Reguladores
EXPERIENCIA
- Al menos dos años de experiência trabajando como Analista de Datos
EDUCACIÓN
- Ingeniería, Matemáticas, Estadística
- Altos conocimientos de programación: Python, PySpark y Sql
- Nível alto de Ingles (C1)
- Deseable conocimiento de Crimen Financiero
