Data Scientist Jr

hace 2 meses

Retiro, Argentina BBVA A tiempo completo

**Excited to grow your career?
**BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

**About the job**:
**Responsabilidades**:

- Desarrollar y mejorar modelos de riesgo de crédito para la toma de decisiones en áreas clave del negocio, mediante técnicas de machine learning y estadística.
- Analizar grandes volúmenes de datos provenientes de diversas fuentes (internas y externas), con el fin de identificar patrones y tendencias que ayuden a optimizar la gestión de riesgos.
- Trabajar en estrecha colaboración con equipos multidisciplinarios (tecnología, finanzas, riesgos) para traducir los requerimientos del negocio en soluciones analíticas.
- Automatizar procesos de análisis y generación de reportes mediante la creación de flujos de trabajo eficientes.
- Desarrollar y evaluar métricas para validar el desempeño de los modelos desarrollados, proponiendo mejoras continuas.
- Documentar los procesos analíticos, asegurando que los modelos cumplan con las regulaciones y estándares del banco.

**Requisitos**:
Título en Estadística, Matemática, Ingeniería, Economía, Actuario o carreras afines.
Experiência en análisis de datos, modelado estadístico, y/o ciencia de datos, preferiblemente en instituciones financieras.
**Conocimientos técnicos**:
Dominio de estadística y probabilidad aplicada.
Experiência en el desarrollo de modelos de riesgo de crédito y su implementación.
Conocimientos de machine learning, incluyendo técnicas como regresiones, árboles de decisión, boosting, redes neuronales, entre otras.
Experiência trabajando con grandes bases de datos.
Lenguajes de programación Python, Spark, SQL.
Conocimiento de herramientas de análisis en la nube es una ventaja.
**Competencias**:
Fuertes habilidades analíticas y capacidad para resolver problemas complejos.
Capacidad para trabajar en equipos multidisciplinarios y comunicar resultados de manera clara y efectiva.
Enfoque en la innovación y mejora continua.
Orientación a resultados y cumplimiento de objetivos.

**Skills**:

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