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Model Validation Analyst Jobs (NOW HIRING)

Alliant Credit Union

Lead Model Validation

Chicago, IL · Hybrid

$95K - $163K/yr

Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance. * Prepare and document validation reports, including findings ...

Alliant

Lead Model Validation

Chicago, IL · On-site

$95K - $163K/yr

Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance. * Prepare and document validation reports, including findings ...

DTCC

Model Validation Associate Director

Jersey City, NJ · On-site

Effective validation helps to ensure that models are sound, identifying potential limitations and ... Perform ad hoc analysis to identify model limitations and performance issues. Recommend action plan ...

Deloitte

Model Validation Senior Manager

Boston, MA

Validate model performance and stability using appropriate methods (for example: benchmarking, back-testing where applicable, sensitivity and stress testing, error analysis, and scenario-based ...

Deloitte

Model Validation Senior Manager

Boston, MA · On-site

Validate model performance and stability using appropriate methods (for example: benchmarking, back-testing where applicable, sensitivity and stress testing, error analysis, and scenario-based ...

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Model Validation Analyst information

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How much do model validation analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for model validation analyst in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $38.46 per hour, depending on experience, location, and employer.

What is a model validation analyst?

Model Validation Analysts are professionals who assess and validate mathematical models used by organizations, especially in finance and risk management. Their primary responsibility is to ensure that these models are accurate, reliable, and compliant with regulatory standards. They review model assumptions, methodologies, and data inputs, as well as perform independent testing and documentation. By doing so, they help organizations manage risks and make informed decisions based on trustworthy model outputs.

What skills and qualifications are needed to be a model validation analyst?

To thrive as a Model Validation Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a degree in a relevant field such as finance, economics, or data science. Familiarity with statistical software (e.g., SAS, R, Python), risk modeling tools, and knowledge of regulatory requirements are essential. Attention to detail, critical thinking, and effective communication skills help you interpret model results and convey findings to stakeholders. These competencies ensure robust model risk management, regulatory compliance, and informed decision-making within financial institutions.

What are common challenges faced by model validation analysts, and how can they be addressed?

Model Validation Analysts often encounter challenges such as evaluating complex models with limited documentation, managing tight deadlines for validation reports, and staying current with evolving regulatory requirements. These challenges can be addressed by maintaining clear communication with model developers, utilizing standardized validation frameworks, and participating in ongoing training or workshops. Building strong analytical and documentation skills also helps ensure thorough and effective model assessments.

What is the difference between Model Validation Analyst vs Quantitative Analyst?

AspectModel Validation AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, statistics, or related field; often certifications like CFA or FRMBachelor's or higher in finance, mathematics, or related; CFA or FRM common
Work EnvironmentFinancial institutions, risk management, model validation teamsInvestment banks, asset management firms, hedge funds
Employer & Industry UsageUsed in risk management, model validation departmentsUsed in trading, investment analysis, portfolio management

The Model Validation Analyst primarily focuses on verifying and validating financial models to ensure accuracy and compliance within risk management teams. In contrast, Quantitative Analysts develop and implement complex models for trading and investment strategies. While both roles require strong quantitative skills and similar certifications, their core responsibilities and work environments differ significantly.

How much does a Model Validation Analyst make?

A Model Validation Analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in risk management or financial modeling may have higher salaries, often supplemented with bonuses and benefits.

What does a model validation analyst do?

A model validation analyst evaluates and verifies the accuracy, reliability, and performance of financial or statistical models used in risk management, credit, or trading. They review model assumptions, conduct testing, and ensure compliance with regulatory standards, often using tools like SAS or R. This role requires strong analytical skills and attention to detail to prevent model risk and support decision-making.
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Model Validation Analyst jobs near you
Infographic showing various Model Validation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $65,000 per year, or $31.2 per hour.

Lead Model Validation

Alliant Credit Union

Chicago, IL • Hybrid

$95K - $163K/yr

Full-time, Part-time

Re-posted 13 days ago

Job description

In this hybrid role based at our Chicago Headquarters, you will serve as a contributor within the second line of defense, perform independent model validations and support oversight of the Model Risk Management (MRM) program. 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 (AI) models. Partner with model owners, users, and MRM leadership to assess model soundness, identify model risk, and support compliance with internal policies and regulatory guidance.

Essential Responsibilities

  • Independently execute model validations that are accurate, timely, and compliant with MRM policies, standards, and procedures across credit, market, operational risk, loss forecasting, stress testing, ALM, AML, fraud, pricing, and CECL models.
  • Apply sound analytical judgment to evaluate model input data, conceptual soundness, performance, implementation, and governance.
  • Prepare and document validation reports, including findings, conclusions, and actionable recommendations for model owners and management.
  • Partner with AI Governance stakeholders to assist with review and onboarding on new AI solutions.
  • Assess ongoing performance monitoring results and identify potential model weaknesses, emerging risks, and areas requiring remediation.
  • Support the ongoing enhancement of model validation methods, tools, templates, and practices in alignment with evolving regulatory guidance and industry standards.
  • Review and challenge validation work performed by third-party vendors, including evaluation of methodologies, conclusion quality, and appropriateness of findings.
  • Partner with first-line model owners and users to support effective issue management, remediation planning, and closure of validation findings.
  • Present validation results and risk assessments to MRM leadership and other stakeholders in a professional and constructive manner.
  • Support model risk governance activities, new model onboarding, including inventory maintenance, periodic inventory recertification, and inventory reporting to applicable committees per MRM Standard.
  • Demonstrate discretion, integrity, and professionalism in handling sensitive information and managing differing viewpoints or conflicts.

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
  • Preferred - Graduate Degree in Mathematics, Statistics, Economics, Quantitative Finance, Engineering, Computer Science or related
  • Minimum - 5 Years of Build, test, implement, or validate models within the financial services industry or related
  • Preferred - 7 Years of Build, test, implement, or validate models within the financial services industry or related

In Lieu of Education

  • 8 Years of Build, test, implement, or validate models within the financial services industry or related

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $95,100.00 to $163,100.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

‎Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.