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ClosedPosted 2 days ago

Credit Card Risk Analytics Lead

Vana14 open roles

Where
Perú
Work mode
Remote

This posting closed on 2026-10-23. 14 other Vana postings are live.

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Still open, like this oneLive
  1. Analista de Calidad de Cobranza3d agoVana · Guatemala
  2. Agente de Operaciones de Crédito - Lima, Perú17d agoVana · Perú
  3. Supervisor de Cobranza22d agoVana · Guatemala
  4. Verificador domiciliar Quetzaltenango23d agoVana · Guatemala

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Vana postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 2 days ago

Vana median: 13 days open

The posting

Sobre el puesto:

Su labor asegura que el crecimiento de la cartera se mantenga dentro del apetito de riesgo aprobado, con decisiones basadas en evidencia, pérdidas esperadas controladas y provisiones IFRS 9 bien fundamentadas. Además, establece el área de Credit Card Risk Analytics como una función escalable, definiendo estándares, gobierno de modelos y la base del equipo analítico que crecerá con el portafolio en los distintos mercados.

Responsabilidades principales:

  • Diseña y es dueño de la estrategia de suscripción digital, define criterios de elegibilidad, segmentación de riesgo, puntos de corte de score y reglas de exclusión (knockout) a partir de datos de buró, datos alternativos y el historial de otros productos de Vana Tech.
  • Define la lógica de asignación del límite de crédito inicial por segmento, equilibrando activación, capacidad de pago y expectativa de pérdida.
  • Construye y mantiene la suite de monitoreo del portafolio, incluyendo curvas de vintage, roll rates, flow-to-loss, mora 30+/60+/90+ DPD, utilización, mix revolvente/transaccional, tasas de pago, incidencia de sobregiro y pérdidas netas.
  • Traduce las estrategias en reglas de decisión productivas en el motor de decisiones junto con Ingeniería, redactando las especificaciones, los casos de prueba y las validaciones previas y posteriores al despliegue.

Perfil del puesto:

  • Licenciatura en Administración de Empresas, Finanzas, Ingeniería Industrial o carreras afines; se valora Maestría (MBA) en Negocios o Finanzas.
  • Experiencia de 5 años en: Análisis de riesgo de crédito al consumo en fintech, tarjetas o banca de consumo. Underwriting, scoring conductual o gestión de portafolio, con reglas llevadas a producción. Construcción o escalamiento de una función analítica o equipo de datos (deseable).}
  • Conocimientos en: Modelado de riesgo y estrategia de crédito IFRS 9: pérdida crediticia esperada (ECL) Python avanzado y SQL (pandas, scikit-learn) Diseño de experimentos y pruebas A/B Inglés avanzado.

Ofrecemos:

  • Oportunidad de pertenecer a una Fintech líder en crecimiento.
  • Modalidad Contratista o Servicios Profesionales.
  • Desarrollo profesional.

Posting text belongs to the employer. Removal requests: contact us.

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