Model Risk Officer - Quantitative Validation Lead

World Bank Group

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

The World Bank Group in Washington, DC is seeking a Risk Officer to lead independent validation of the CROVMR model inventory, ensuring rigor and governance across all models. This international role demands collaboration with cross-functional teams to strengthen risk controls and reporting.

The position requires an advanced quantitative degree and at least five years in model validation or risk modelling, with strong programming skills (Python/C++/MATLAB) and the ability to convey complex

Qualifications

  • Advanced degree required in a quantitative field.
  • Minimum five years in model validation or risk management.
  • Experience delivering production-grade quantitative models with clear documentation.
  • Strong programming, analytics, and communication skills.

Responsibilities

  • Validate models within the CROMR inventory per governance framework.
  • Build and maintain benchmark models using Python across risk areas.
  • Maintain the analytics library with tests and documentation.
  • Collaborate with model development teams to apply governance standards.
  • Support model governance activities and risk ratings across inventory.
  • Promote awareness of model risk management across the World Bank Group.
  • Engage with external contacts to stay updated on industry practices.

Skills

Python
C++
MATLAB

Education

Advanced degree (PhD or Master's) in Finance, Economics, Mathematics, Physics, or a related quantitative discipline.

Job description

The World Bank Group in Washington, DC is seeking a Risk Officer to lead independent validation of the CROVMR model inventory, ensuring rigor and governance across all models. This international role demands collaboration with cross-functional teams to strengthen risk controls and reporting.

The position requires an advanced quantitative degree and at least five years in model validation or risk modelling, with strong programming skills (Python/C++/MATLAB) and the ability to convey complex

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