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Model Validation Manager Jobs (NOW HIRING)

Guidehouse

Model Validation Lead

Arlington, VA

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 ...

Guidehouse

Model Validation Lead

Indianapolis, IN

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

Guidehouse

Model Validation Lead

Mclean, VA

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

Guidehouse

Model Validation Lead

Indianapolis, IN

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 ...

Alliant Credit Union

Lead Model Validation

Chicago, IL · Hybrid

$95K - $163K/yr

Validate a broad range of models used across credit risk, treasury management (ALM), finance, underwriting, and related areas, includes both traditional statistical models and artificial intelligence ...

New

Guidehouse

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

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

Validate a broad range of models used across credit risk, treasury management (ALM), finance, underwriting, and related areas, includes both traditional statistical models and artificial intelligence ...

New

Guidehouse

Model Validation Lead

Mclean, VA

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 ...

Guidehouse

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

DTCC

Model Validation Senior Associate

Jersey City, NJ · On-site

Model Risk Management, MRM is responsible for overseeing enterprise-wide model risk management and ... Effective validation helps to ensure that models are sound, identifying potential limitations and ...

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Model Validation Manager information

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$105.4K

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How much do model validation manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for model validation manager in the United States is $105,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $132,000.00 per year, depending on experience, location, and employer.

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 is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross 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 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.

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.
More about Model Validation Manager jobs
What cities are hiring for Model Validation Manager jobs? Cities with the most Model Validation Manager job openings:
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Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

Model Validation Manager

CLS Bank International

Manhattan, NY • On-site

Full-time

Re-posted 5 days ago

Job description

Essential Function / major duties and responsibilities of the job

•      Independently perform model validation according to MRM’s validation standards.

•      As part of validation, it may become necessary to independently code replications of the models used in production.

•      For models already independently replicated for MRM, the Model Validation Manager will need to run the MRM model and reconcile against production model runs.

•      Document this review and challenge in validation reports.

•      MRM is engaging a professional firm to perform a significant part of CLS’s model validation book of work. The Model Validation Manager will collaborate with this firm for the validation of certain models.

•      Communicate effectively with model owners/developers: In the course of validation to obtain clarification and to request specific data and production model outputs. Post validation to manage the finding lifecycle: Achieving agreement on validation findings and observations, including corrective action plans to remediate the findings, and reviewing model owner requests for finding closures.

•      Actively contribute to validation report / validation finding peer reviews, to ensure consistency in validation work across all validators.

Leadership

•      Apply soft skills to build consensus and stakeholder buy-in.

Experience / essential and desired for successful job performance

•      3+ years’ experience in model validation or model development at a regulated financial institution.

•      Knowledge of US Banking Regulations (Federal Reserve Board)

Qualifications / certifications

•      Minimum bachelor’s degree (master’s degree / Ph.D. preferred) with concentration in a quantitative discipline such as, engineering, econometrics, statistics, physics, mathematics etc.

•      3+ years’ experience of quantitative analysis in the financial services sector. Solid quantitative and qualitative risk assessment skills. Experience in model validation and/or model development preferred.

•      Team-oriented with a strong sense of ownership and accountability.

•      Strong verbal and written communication skills.

•      Extensive experience with numerical and statistical tools: e.g. Python, R, MATLAB, SAS, C++, Java.

•      Knowledge of regulatory guidance on model risk management and industry best practice.

•      Knowledge of capital market products, especially FX, a plus.

•      Understanding of settlement and clearing, and the differences is a plus.

Knowledge, skills and abilities / competencies required for successful job performance

·      Perform independent model validation, under the guidance of the Lead Model Validator.

·      Ability to write, review, critique, and improve long validation reports

·      Interact with model owners / model developers on all issues of model validation and subsequent actions, such as agreement on findings, finding remediation plans, finding closure reviews, etc.

·      Ability to code independent replications of production models, based on model documentation and, if required, further clarification directly obtained from model owners / model developers.

·      Participate in peer review of model validation reports.

Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position

·      Strong quantitative skills.

·      Excellent interpersonal communication skills, both written and verbal.

·      High ethical standards and a profound sense of integrity and confidentiality.

·      Challenging assumptions and maintaining independence and objectivity.

·      Build consensus, to influence both internal and external stakeholders.

·      Results oriented team player.

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