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Salary
≈ $41k – $102k per year (Estimated)
Location
In office (Argentina)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on May 10, 2026. Cencosud scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cencosud is a retail group operating in six Latin American countries with supermarkets, home improvement stores, wholesale outlets, shopping centres and financial services. In Argentina its brands include Jumbo, Disco, Vea, Easy, Blaisten, Makro and the Unicenter shopping centre, and it hires technical office coordinators and other staff. This record covers its Argentine operations in Buenos Aires, Argentina.

En Cencosud Retail Financiero buscamos nuestro próxima/o Senior Data Scientist - Riesgos para nuestra Gerencia de Riesgos Regional. Trabajamos en un ambiente donde los principios de la agilidad son bienvenidos y donde el talento, desarrollo y aprendizaje continuo de nuestros colaboradores es nuestra principal preocupación. ¿Cuál será tu misión? Impulsar la evolución de la gestión de riesgo crediticio a través del desarrollo de modelos analíticos avanzados que permitan anticipar comportamientos, optimizar decisiones y generar valor para los negocios de Retail Financiero de la región. Tendrás un rol clave en la transformación basada en datos, combinando analítica, tecnología e impacto en el negocio. Principales responsabilidades

  • Desarrollar e implementar modelos predictivos y scorecards para la gestión de riesgo crediticio regional.
  • Analizar y modelar grandes volúmenes de información para identificar variables y patrones de riesgo.
  • Programar soluciones analíticas utilizando Python y herramientas avanzadas de ciencia de datos.
  • Monitorear el desempeño de los modelos, detectando desvíos y generando alertas tempranas.
  • Ejecutar procesos de validación, recalibración y seguimiento continuo de modelos crediticios.
  • Evaluar exposiciones al riesgo y proponer iniciativas para optimizar el costo de riesgo del negocio.
  • Participar en proyectos de automatización, arquitectura de datos y evolución de capacidades analíticas.
  • Colaborar con equipos regionales para impulsar decisiones estratégicas basadas en datos.
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