Senior Model Risk Manager

At a glance

The Model Risk Management & Model Validation (MRM & MV) department is a culturally diverse team of model risk experts based in Amsterdam, responsible for the management and independent validation of all models used across the bank.

As a Model Risk Manager you play a key role in the execution and peer‑review of model validations within your assigned domain. You help ensure models are conceptually sound, data‑driven, compliant, correctly implemented, and transparently governed. Alongside validation, you contribute to model risk management activities such as model discovery, tiering, inventory management, issue tracking, and agenda setting for Model Approval Authorities.

You are an experienced model risk practitioner who brings analytical depth, risk awareness, and strong communication skills. You translate regulatory and internal expectations into clear assessments and actionable recommendations for model owners and senior stakeholders.

This role reports to the Head of Non‑Retail Credit Model Risk.

As a Model Risk Manager, you support the consistent execution of the Model Risk Management Framework within your domain. You perform independent validations and peer‑reviews, monitor outstanding findings, structure governance materials, and ensure transparency and compliance in line with supervisory expectations.

You synthesize validation outcomes into clear conclusions that inform model approval decisions, and you contribute to ensuring models remain fit‑for‑purpose throughout their lifecycle. You play an active role in maintaining the model inventory, supporting model discovery, and organising governance agendas so decisions are made on time and with the right information.

You work closely with model developers, model owners, business representatives, and senior stakeholders to ensure robust independent challenge and strong risk management practices.

• Model Validation & Review:
  Execute and peer‑review model validations within the assigned domain, including:
  • Assessing data quality used for prototype model development.
  • Examining correctness and conceptual soundness of modelling methodology and assumptions.
  • Forming objective opinions on model performance.
  • Assessing compliance with internal policies and external regulatory expectations.
  • Checking correct implementation of models in the production environment.
  • Communicating results clearly and constructively to stakeholders.
  • Leading projects and coaching colleagues.
• Model Risk Management
  
  Activities:
  • Conduct model discovery and model tiering.
  • Track outstanding model‑related findings and ensure timely assessment and closure.
  • Identify and signal issues, emerging risks, or structural weaknesses via validation and oversight work.
  • Maintain the model inventory and ensure accurate, complete registration of model attributes.
  • Prepare and manage agenda setting for relevant Model Approval Authorities, ensuring decision‑makers receive high‑quality, complete, and timely information.
• Collaboration & Communication:
  • Engage with model owners, first‑line developers, risk departments, and governance stakeholders.
  • Provide transparent and well‑reasoned input to validation teams and domain experts.
  • Support continuous improvement of processes, documentation, and standards.

• Contribute to the shift from a validation‑centric view to an integrated Model Risk Management perspective.
• Enhance transparency and discipline in model inventory management and issue tracking.
• Support risk‑based prioritisation and improved decision‑making through high‑quality governance materials.
• Strengthen the challenges applied to model development, monitoring, and use across the model lifecycle.
• Support improvements in model risk processes, tools, and reporting.

The Non‑Retail Credit Model Risk department is part of ABN AMRO’s Model Risk Management & Model Validation (MRM&M V) department. There are three other model risk teams within the MRM&M V department:
Financial Markets Model Risk, Retail Credit Model Risk, AI & Analytics Model Risk.

Experience:

• Academic degree (Master’s preferred) in a quantitative, technical, financial, or related field.
• Seve…