Senior Credit Risk Portfolio Analyst - Personal Loans

ING BANK NV SUCURSAL EN ESPAÑA; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restaurant card

Health insurance

Life insurance

Flexible remuneration

Free company shuttle

Banking benefits

Descripción de la vacante

ING Bank NV Sucursal en España is seeking a Senior Credit Risk Portfolio Analyst to support the Retail Risk team in Madrid. You will oversee the Spanish Personal Loans portfolio across the credit lifecycle, collaborating with international teams and driving risk-informed growth.

The ideal candidate has a strong background in retail lending risk, advanced statistics, and programming in SAS and SQL, with fluent English and Spanish.

Formación

• Bachelor’s degree or equivalent in Economics, Business, Statistics, Maths or Econometrics.
• Proven experience in risk management for Retail lending portfolios, particularly Personal Loans.
• Excellent knowledge of statistics and/or mathematics, as well as programming, in SAS and SQL.
• Fluent English and Spanish language skills.

Responsabilidades

• Positively contribute to the risk management of the Spanish Portfolio, particularly for Personal loans, through reporting, monitoring and communication.
• Collaborate to identify and mitigate risks, ensuring capital and provisions comply with regulatory requirements.
• Promote Personal Loans portfolio growth with product/business teams in a profitable and sustainable manner.

Conocimientos

Analytical skills

Problem solving

Proactive mindset

Project leadership

Bilingual English/Spanish

Educación

Bachelor’s degree in Economics/Business/Statistics/Math/ Econometrics

Herramientas

SAS

SQL

Descripción del empleo

ING Bank NV Sucursal en España is seeking a Senior Credit Risk Portfolio Analyst to support the Retail Risk team in Madrid. You will oversee the Spanish Personal Loans portfolio across the credit lifecycle, collaborating with international teams and driving risk-informed growth.

The ideal candidate has a strong background in retail lending risk, advanced statistics, and programming in SAS and SQL, with fluent English and Spanish.