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Model Validation Manager Jobs (NOW HIRING)

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 ...

Deloitte

Model Validation Senior Manager

Boston, MA · On-site

Regulatory & Financial Risk - Senior Manager - Model Validation Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment ...

Deloitte

Model Validation Senior Manager

Chicago, IL

Regulatory & Financial Risk - Senior Manager - Model Validation Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment ...

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 ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... risk management, or related roles. • Expertise in supervised and unsupervised learning techniques, deep learning, natural language processing, and statistical modeling. • Proficiency in ...

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Model Validation Manager information

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$47.5K

$105.4K

$160.5K

How much do model validation manager jobs pay per year?

As of Aug 27, 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 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 skills and qualifications are needed to be a model validation manager?

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 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.

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Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

Lead Model Validation

Alliant

Chicago, IL • On-site

$95K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Alliant Insurance Services rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

72nd of 312 rated insurance

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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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