Model Validation Lead
Mclean, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or high-risk environments
Model Validation Lead
Mclean, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or high-risk environments
Model Validation Lead
Mclean, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or highrisk environments
Model Validation Lead
Mclean, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or highrisk environments
Model Validation Lead
Arlington, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or highrisk environments
Model Validation Lead
Arlington, VA · On-site
Advise clients on model risk management, AI governance, and responsible AI practices * Mentor ... Experience validating ML, statistical, and predictive models in regulated or highrisk environments
Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model ...
Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model ...
Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model ...
Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model ...
Quantitative Analytics and Model Analyst Senior - Commercial Credit and Financial Valuation Models
$55K - $157.30K/yr
The position reports to a validation manager in Commercial Credit and Financial Valuation Models and is part of the Independent Risk Management organization. This role involves performing rigorous ...
New
Quantitative Analytics and Model Analyst Senior - Commercial Credit and Financial Valuation Models
$55K - $157.30K/yr
The position reports to a validation manager in Commercial Credit and Financial Valuation Models and is part of the Independent Risk Management organization. This role involves performing rigorous ...
New
Manager, Data Science - Model Risk Office Data is at the center of everything we do. As a startup ... Validate fraud and AML modeling approaches, including: * Rule-based systems and thresholds
Manager, Data Science - Model Risk Office Data is at the center of everything we do. As a startup ... Validate fraud and AML modeling approaches, including: * Rule-based systems and thresholds
Manager, Data Science - Model Risk Office Data is at the center of everything we do. As a startup ... Validate fraud and AML modeling approaches, including: * Rule-based systems and thresholds
Manager, Data Science - Model Risk Office Data is at the center of everything we do. As a startup ... Validate fraud and AML modeling approaches, including: * Rule-based systems and thresholds
The successful candidate will work closely with Market Risk Management, Model Validation, Treasury, Asset & Liability Management (ALM), Finance, and the Capital Markets Group to provide independent ...
The successful candidate will work closely with Market Risk Management, Model Validation, Treasury, Asset & Liability Management (ALM), Finance, and the Capital Markets Group to provide independent ...
Perform all tasks related to model validation to evaluate and manage model risks associated with models in the investment and capital markets area. * Conduct technical validation of the company ...
Quick apply
Perform all tasks related to model validation to evaluate and manage model risks associated with models in the investment and capital markets area. * Conduct technical validation of the company ...
Specific activities may change from time to time. 1. Oversee the execution of various model validation reviews lead and managed by less experienced Quantitative Auditors within the Truist Model Risk ...
Specific activities may change from time to time. 1. Oversee the execution of various model validation reviews lead and managed by less experienced Quantitative Auditors within the Truist Model Risk ...
Quantitative Analytics and Model Consultant Senior Validator - Market Risk and Counterparty Risk ...
Tysons Corner, VA · On-site +1
The position reports to the Senior Validation Manager for Market Risk and Counterparty Risk Models and is part of the Independent Risk Management organization. As a senior validator you will perform ...
Quantitative Analytics and Model Consultant Senior Validator - Market Risk and Counterparty Risk ...
Tysons Corner, VA · On-site +1
The position reports to the Senior Validation Manager for Market Risk and Counterparty Risk Models and is part of the Independent Risk Management organization. As a senior validator you will perform ...
Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup ... Validate and build statistical or machine learning models through all phases of development, from ...
Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup ... Validate and build statistical or machine learning models through all phases of development, from ...
AI/ML Model Engineer
Mclean, VA · On-site
KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...
AI/ML Model Engineer
Mclean, VA · On-site
KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...
KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...
KNOWLEDGE & SKILLS: * 2 years of prior experience in model validation or model audit * 2 years of ... As a world-class leader in providing seasoned program management, IAH leverages and integrates its ...
Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup ... Validate and build statistical or machine learning models through all phases of development, from ...
Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup ... Validate and build statistical or machine learning models through all phases of development, from ...
Experience working with model risk governing bodies in model validation, and with model ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...
Experience working with model risk governing bodies in model validation, and with model ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...
Quantitative Analytics Director
Mclean, VA · On-site
$214K - $322K/yr
Highly relevant experience in model validation, model risk management, and/or supervisory review of financial models (e.g., regulatory exams or second-line validation). * Strong communication and ...
Quantitative Analytics Director
Mclean, VA · On-site
$214K - $322K/yr
Highly relevant experience in model validation, model risk management, and/or supervisory review of financial models (e.g., regulatory exams or second-line validation). * Strong communication and ...
Quant Audit Manager
$102.90K - $135.10K/yr
Lead the execution of technical model validation reviews completed by the Truist Model Risk Management Risk Management Technical Review Team. Work will consist of: a. Performing full or targeted ...
Quant Audit Manager
$102.90K - $135.10K/yr
Lead the execution of technical model validation reviews completed by the Truist Model Risk Management Risk Management Technical Review Team. Work will consist of: a. Performing full or targeted ...
Highly relevant experience in model validation, model risk management, and/or supervisory review of financial models (e.g., regulatory exams or second-line validation). * Strong communication and ...
Highly relevant experience in model validation, model risk management, and/or supervisory review of financial models (e.g., regulatory exams or second-line validation). * Strong communication and ...
Model Validation Manager information
See Virginia salary details
$47.1K - $57.3K
1% of jobs
$57.3K - $67.5K
4% of jobs
$75.9K is the 25th percentile. Wages below this are outliers.
$67.5K - $77.6K
24% of jobs
$77.6K - $87.8K
9% of jobs
The median wage is $95.2K / yr.
$87.8K - $98K
17% of jobs
$98K - $108.2K
8% of jobs
$108.2K - $118.4K
5% of jobs
$125.3K is the 75th percentile. Wages above this are outliers.
$118.4K - $128.6K
11% of jobs
$128.6K - $138.8K
8% of jobs
$138.8K - $148.9K
6% of jobs
$148.9K - $159.1K
8% of jobs
$47.1K
$104.5K
$159.1K
How much do model validation manager jobs pay per year?
As of May 29, 2026, the average yearly pay for model validation manager in Virginia is $104,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $130,900.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Model Validation Manager, and why are they important?
To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.
How does a Model Validation Manager typically collaborate with other teams during the model validation process?
A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.
What does a Model Validation Manager do?
A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.
What is the difference between Model Validation Manager vs Quantitative Analyst?
| Aspect | Model Validation Manager | Quantitative Analyst |
|---|---|---|
| Credentials | Typically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are common | Often holds degrees in finance, economics, or mathematics; certifications like CFA are also common |
| Work Environment | Works in risk management, model validation teams within banks or financial institutions | Works in trading, investment analysis, or risk departments within financial firms |
| Industry Usage | Primarily in banking, asset management, and financial services for model risk assessment | Across investment firms, hedge funds, and banks for market analysis and trading strategies |
The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.
What are the most commonly searched types of Model Validation jobs in Virginia? The most popular types of Model Validation jobs in Virginia are:
What are popular job titles related to Model Validation Manager jobs in Virginia? For Model Validation Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Model Validation Manager jobs in Virginia look for? The top searched job categories for Model Validation Manager jobs in Virginia are:
What cities in Virginia are hiring for Model Validation Manager jobs? Cities in Virginia with the most Model Validation Manager job openings:
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 6 days ago
Guidehouse rating
7.5
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:
What Would Be Great to Have
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:
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.
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
- 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.
What Guidehouse employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Guidehouse
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Falls Church, VA, US
Year founded
2005