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Head Of Model Risk Management Jobs in Reston, VA

Build and maintain external professional relationships and industry contacts to stay abreast of emerging practices and developments in model risk management and quantitative modelling.

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics * Experience validating ML, statistical, and predictive ...

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Head Of Model Risk Management information

See Reston, VA salary details

$56.2K

$149K

$270.5K

How much do head of model risk management jobs pay per year?

As of Jun 19, 2026, the average yearly pay for head of model risk management in Reston, VA is $148,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $174,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Head Of Model Risk Management, and why are they important?

To thrive as a Head Of Model Risk Management, you need deep quantitative expertise, advanced knowledge of risk management frameworks, and a strong background in finance or mathematics, often supported by advanced degrees such as a PhD or MSc. Familiarity with statistical software (like Python, R, or SAS), model validation tools, and regulatory compliance systems is typically required. Exceptional leadership, communication, and critical thinking skills are essential for effectively managing teams and presenting complex risk issues to stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and sound decision-making within financial institutions.

What is the difference between Head Of Model Risk Management vs Model Validation Manager?

AspectHead Of Model Risk ManagementModel Validation Manager
Primary FocusOversees overall model risk framework, governance, and strategyConducts independent validation and testing of models
ResponsibilitiesRisk oversight, policy development, senior stakeholder communicationModel testing, performance assessment, validation reports
CredentialsAdvanced degrees, certifications like FRM, CFA, or CAMS, experience in risk managementQuantitative background, certifications like CFA, FRM, strong modeling expertise
Work EnvironmentStrategic, leadership role within risk management teamsTechnical, analytical role focused on model validation tasks

The Head Of Model Risk Management oversees the entire model risk framework, focusing on strategy and governance, while the Model Validation Manager specializes in testing and validating individual models. Both roles require strong quantitative skills and relevant certifications, but differ in scope and responsibilities.

What are the main challenges faced by a Head of Model Risk Management in maintaining regulatory compliance?

A Head of Model Risk Management often faces the challenge of keeping up with evolving regulatory expectations and ensuring that all models used within the organization are compliant. This involves constantly monitoring regulatory updates, coordinating with various departments to implement necessary changes, and maintaining detailed documentation for audit purposes. Additionally, the role requires balancing the need for innovation in modeling techniques with the necessity of robust risk controls and transparent validation processes. Regular communication with risk, compliance, and audit teams is essential to address these challenges effectively.

What does a Head of Model Risk Management do?

A Head of Model Risk Management oversees the processes and teams responsible for identifying, assessing, and mitigating risks associated with financial and predictive models used within an organization. This role involves establishing and maintaining model risk frameworks, ensuring regulatory compliance, and leading model validation activities. They also coordinate with other departments to ensure the effective management and governance of all models, providing guidance on best practices and emerging risks. Ultimately, their goal is to minimize model-related losses and support sound decision-making across the business.
What are popular job titles related to Head Of Model Risk Management jobs in Reston, VA? For Head Of Model Risk Management jobs in Reston, VA, the most frequently searched job titles are:
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What cities near Reston, VA are hiring for Head Of Model Risk Management jobs? Cities near Reston, VA with the most Head Of Model Risk Management job openings:
Risk Officer

Risk Officer

World Bank

Washington, DC โ€ข On-site

Other

Posted 14 days ago


Job description

The World Bank Group is a unique global partnership of five institutions driven by a bold vision to create a world free of poverty on a livable planet. As one of the largest sources of funding and knowledge for developing countries, we help solve the world's greatest development challenges. When you join the World Bank Group, you become part of a dynamic, diverse organization with 189 member countries and more than 130 offices worldwide. We work with public and private sector partners, invest in groundbreaking projects, and use data, research, and technology to bring tangible and transformative changes around the globe. For more information, visit www.worldbank.org.

VPU Context

The WBG Chief Risk Officer Vice Presidency (CROVP) is the core unit responsible for Group-wide institutional risk oversight, including establishment and monitoring adherence to risk policies and guidelines and risk assessment and reporting to the Board and executive management. Its mission is to enable and support the WBG to achieve its goals in a financially sustainable manner. The VPU assists management with identifying and managing Group-wide cross-cutting risks, enhancing risk response decisions, reducing financial and operational surprises and losses, seizing opportunities and improving deployment of capital.ย  The WBG CRO Vice Presidency includes the IBRD/IDA, IFC, and MIGA risk teams and covers a wide range of financial and non-financial risks.
CROMR is looking to recruit a Risk Officer under the Model Risk function in CROVP, based in Washington, DC.ย 

Duties and Accountabilities:

Conduct independent validation of models within the CROMR model inventory, ensuring consistency, rigor, and adherence to the model risk governance framework, identifying model risks and engaging with stakeholders on appropriate remediation actions and follow-up plans.
Independently build, maintain, and enhance independent benchmark quantitative models using Python programming language, across areas such as economic capital, financial statement forecasting, credit risk, market risk and non-financial risk, supported by robust analytical data infrastructure, automated quality controls, and structured data storage to enable efficient, reproducible, and well-governed model development and validation.
Ensure the CROMR model analytics library remains robust, well tested, well documented, and current, with benchmark models maintained for on-demand execution and effective support of independent model validation and challenge.
Build and maintain good working relationships with model development/owners' teams to support the establishment, communication, and consistent application of model validation & governance standards.
Support model governance activities for models within the inventory, including assigning independent model risk ratings, monitoring validation status, assessing compliance with the framework requirements.
Contribute to strengthening awareness and understanding of the model governance environment across the World Bank Group through collaboration, communication, and engagement with relevant stakeholders.
Build and maintain external professional relationships and industry contacts to stay abreast of emerging practices and developments in model risk management and quantitative modelling.