Financial Crime Data Analytics

hace 4 meses

Boadilla del Monte, España Santander A tiempo completo

Financial Crime Data Analytics & Models Analyst

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

HABILIDADES & CONOCIMIENTOS
- Altos conocimientos de programación: Python, PySpark y Sql
- Nível alto de Ingles (C1)
- Deseable conocimiento de Crimen Financiero

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