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Model Risk Manager Jobs in Washington, DC (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

IntraFi

Senior Risk Manager

Arlington, VA

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

Guidehouse

Model Validation Lead

Mclean, VA

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

Guidehouse

Model Validation Lead

Arlington, VA

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

IntraFi

Senior Risk Manager

Arlington, VA · On-site

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

IntraFi

Senior Risk Manager

Arlington, VA · On-site

Advance risk analytics capabilities by developing models, tools, and AI-driven solutions that ... Integrate risk management into business and product development lifecycles by introducing forward ...

CGI Inc.

Risk Manager, Senior

Arlington, VA · On-site

Risk Manager, Senior Category: Leadership and Management Roles Main location: United States ... This position is located in USA VA Arlington, however, a hybrid working model is acceptable. Your ...

Sallie_mae

Manager, Credit Risk

Sterling, VA

Collaborate with Compliance, Model Risk Management, Operational Risk, and Internal Audit to ensure comprehensive risk coverage and consistent messaging. * Contribute to continuous improvement of ...

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Model Risk Manager information

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$58.2K

$126K

$192K

How much do model risk manager jobs pay per year?

As of May 30, 2026, the average yearly pay for model risk manager in Washington, DC is $125,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $145,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are popular job titles related to Model Risk Manager jobs in Washington, DC? For Model Risk Manager jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Washington, DC look for? The top searched job categories for Model Risk Manager jobs in Washington, DC are:
Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in Washington, DC as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $125,970 per year, or $60.6 per hour.

Model Validation Lead

Guidehouse

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th 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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