Chief, Model Risk Oversight & Validation

Monzo; Madrid; Presencial; EUR 102.000 - 138.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Incentive awards tied to performance

Learning budget €1,200 per year

Descripción de la vacante

Monzo is seeking a Head of Model Risk Oversight to establish and scale the 2LOD MRM framework for Monzo Bank Europe (MBEU) in Madrid. You will validate credit risk, fraud and financial risk models, ensuring regulatory compliance and alignment with the EU AI Act.

You will lead the MROC, manage validation schedules, and work with regulators. A post-graduate quantitative degree and deep experience in model risk governance are required.

Formación

• Lead the EU-wide Model Risk Management framework and validation standards.

Responsabilidades

• Define and maintain the EU-wide MRM framework and validation standards.
• Coordinate Model Risk Oversight Committee (MROC) activities and reporting.
• Validate material and high-risk models pre-deployment, including credit scoring and fraud models.
• Provide 2LOD independent oversight across risk domains: credit, fraud, financial risk.
• Ensure alignment with EU AI Act and Monzo's AI standards.
• Lead governance, escalation, and reporting to ERC and BRC.
• Oversee model inventory, AI use cases, and risk appetite.
• Support regulatory compliance with ECB/EBA guidelines and GDPR mandates.

Conocimientos

Model Risk Management

2LOD oversight

Python

SQL

Regulatory compliance

Regulatory frameworks (ECB, EBA)

Educación

Post-graduate degree (MSc/PhD) in quantitative discipline

Herramientas

Python

SQL

Descripción del empleo

Monzo is seeking a Head of Model Risk Oversight to establish and scale the 2LOD MRM framework for Monzo Bank Europe (MBEU) in Madrid. You will validate credit risk, fraud and financial risk models, ensuring regulatory compliance and alignment with the EU AI Act.

You will lead the MROC, manage validation schedules, and work with regulators. A post-graduate quantitative degree and deep experience in model risk governance are required.