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Director Model Risk Governance Jobs in Virginia (NOW HIRING)

Guidehouse

Model Validation Lead

Mclean, VA · On-site

Advise clients on model risk management, AI governance, and responsible AI practices * Mentor junior staff and serve as a technical authority within analytics and AI engagements What You Will Need

Truist

Quant Audit Manager

Richmond, VA · On-site

$102K - $135K/yr

... guidance on model risk governance and oversight for various model types. 7. Provide leadership and train/coach/mentor junior team members to enhance achievement of goals and objectives.

Navtech

IT Project Manager

Mclean, VA

$101K - $119K/yr

Maintain and implement model risk governance framework within the regulatory environment and maintain all governance documents. Build and maintain data quality reporting. * Maintenance and management ...

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Director Model Risk Governance information

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
What are the most commonly searched types of Model Risk Governance jobs in Virginia? The most popular types of Model Risk Governance jobs in Virginia are:
What are popular job titles related to Director Model Risk Governance jobs in Virginia? For Director Model Risk Governance jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Virginia look for? The top searched job categories for Director Model Risk Governance jobs in Virginia are:
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Director Model Risk Governance jobs near you

Model Validation Lead

Guidehouse

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Active Secret

What You Will Do

As a Model Validation Lead, you will provide technical and programmatic leadership for the independent validation, governance, and risk management of advanced analytics, machine learning, and AI models deployed in federal environments. You will lead model validation efforts supporting mission‑critical use cases across defense and federal financial domains, ensuring models are sound, explainable, compliant, and operationally fit for purpose.

You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and government counterparts to define validation standards, execute reviews, and ensure alignment with federal, DoD, and financial governance expectations.

Key responsibilities include:

  • Lead end‑to‑end model validation activities for ML, AI, and advanced analytical models

  • Define and oversee validation frameworks covering conceptual soundness, data integrity, methodology, performance, bias, and stability

  • Review and challenge model assumptions, feature engineering, training approaches, and performance metrics

  • Assess model robustness, sensitivity, and limitations across operational scenarios

  • Evaluate model explainability, transparency, and interpretability for technical and non‑technical stakeholders

  • Partner with MLOps and engineering teams to ensure models are production‑ready and compliant with governance requirements

  • Establish validation documentation standards, review artifacts, and approval processes

  • Support audits, reviews, and governance forums related to AI/ML risk and compliance

  • Advise clients on model risk management, AI governance, and responsible AI practices

  • Mentor junior staff and serve as a technical authority within analytics and AI engagements

What You Will Need

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field

  • 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 models in regulated or high‑risk environments

  • Experience in Python and analytics tooling used to assess, test, and challenge models

  • Experience working with large‑scale datasets and complex analytical pipelines

  • Experience leading small teams or workstreams and interfacing directly with senior stakeholders

What Would Be Great to Have

  • Strong understanding of model risk management concepts, including governance, documentation, and independent review

  • Experience supporting the Department of Defense, including exposure to Advana or enterprise analytics platforms

  • Hands‑on experience validating models using federal financial, budgetary, accounting, or audit data

  • Experience validating models deployed on Databricks (e.g., Spark, MLflow)

  • Ability to translate technical findings into clear, defensible conclusions for government and executive audiences

  • Exposure to models developed or operationalized in Palantir Foundry

  • Familiarity with MLOps practices and how validation integrates into CI/CD pipelines

  • Experience in Azure Government, AWS GovCloud, or other regulated cloud environments

  • Knowledge of Responsible AI, fairness, bias detection, and explainability techniques

  • Experience supporting internal or external audits of AI/ML systems

  • Master’s degree or PhD in a quantitative or technical discipline


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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