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Model Validation Manager Jobs (NOW HIRING)

Barclays

Model Validation AVP

Wilmington, DE

Validation of models for their intended use and scope, commensurate with the complexity and ... Take ownership for managing risk and strengthening controls in relation to the work done. * Perform ...

Barclays

Model Validation AVP

New York, NY · On-site

Validation of models for their intended use and scope, commensurate with the complexity and ... Take ownership for managing risk and strengthening controls in relation to the work done. * Perform ...

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 ...

Vangard, Inc.

Model Validator

Malvern, PA · On-site

Perform and lead independent validation of investment models across major asset classes covering portfolio construction, signaling, risk management, trading, asset allocation, and performance ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA

$210K - $280K/yr

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term ... We will incorporate best-in-class engineering and product management principles and your guidance ...

BMO Financial

Credit Risk Model Validation

Chicago, IL · On-site

Audit, Risk & Compliance BMO is seeking an experienced professional to join the Model Risk Management Team as Manager, Credit Risk Model Validation . This role is part of the second-line governance ...

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How much do model validation manager jobs pay per year?

As of May 30, 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.

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?

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.

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Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

Model Validation Analyst

Satnam Data Systems, Inc

Plano, TX

Contractor

Posted 22 days ago

Job description

Job Description

The client's Customer Analytics, Capital and Modeling Department is looking for a highly motivated and qualified Model Validation Consultant to support its objectives. The primary responsibility of this role is to support the model validation team to mitigate the model risks under the model governance for the entire client. The team is responsible to Client and diagnose modeling related risks including input data, assumption, concept, methodology, process and implementation. The team is also responsible to opine on the model strength and weakness and recommend practical solutions. Key Responsibilities: Support the model validation team to mitigate the model risks Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation Provides subject matter expertise on models' strength and weakness and recommend practical solutions Validates models assigned by model governance committee Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc. Review model documents, and conduct test runs on model codes Provide different view on methodology and calculations, and provide feedback to model developers Work on model validation reports with hiring manager and provide ad hoc support to him

Qualifications

Master's Degree in Statistics, Econometrics, Finance, Operations Research, or equivalent. PhD is preferred 5 plus years of financial modeling development or model validation experience 3 plus years of work experience in SAS and SQL Quantitative analysis skills Preferred or Nice to haves: Work experience in R Work experience in Auto Financial Industry Work knowledge in Lease Residual Value Banking industry experience Auto Finance experience

Additional Information

All your information will be kept confidential according to EEO guidelines.

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