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Vp Model Governance Jobs (NOW HIRING)

Wintrust Financial Corporation

$135K - $165K/yr

... Risk Vice President to join our Model Risk Management (MRM) team in Rosemont. As a key leader in ... model governance sessions to ensure compliance and foster continuous improvement in model risk ...

Wintrust

VP Model Risk Management

Rosemont, IL · On-site

$135K - $165K/yr

... Risk Vice President to join our Model Risk Management (MRM) team in Rosemont. As a key leader in ... model governance sessions to ensure compliance and foster continuous improvement in model risk ...

Wintrust

VP Model Risk Management

Rosemont, IL

$135K - $165K/yr

... Risk Vice President to join our Model Risk Management (MRM) team in Rosemont. As a key leader in ... model governance sessions to ensure compliance and foster continuous improvement in model risk ...

Afsvision

VP, AI Business Transformation

Exton, PA · On-site

We are seeking a VP, AI Business Transformation to serve as the orchestrator of this transformation ... You will also partner with executive leadership to shape AFS's AI operating model, governance, and ...

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Vp Model Governance information

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$99.5K

$212.1K

$286.5K

How much do vp model governance jobs pay per year?

As of Sep 12, 2026, the average yearly pay for vp model governance in the United States is $212,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $188,500.00 and $233,000.00 per year, depending on experience, location, and employer.

What is a VP Model Governance?

A VP of Model Governance is a senior executive responsible for overseeing the development, validation, and management of models within an organization, typically in the financial services or banking sector. They ensure that all models comply with internal policies and regulatory requirements, manage model risk, and lead teams that perform model validation and ongoing monitoring. Their work helps ensure that models used for decision-making are accurate, reliable, and transparent, minimizing risk to the organization.

What are the key skills and qualifications needed to thrive as a VP Model Governance?

To thrive as a VP Model Governance, you need deep expertise in quantitative modeling, risk management, and regulatory compliance, typically supported by an advanced degree in finance, mathematics, or a related field. Familiarity with modeling platforms (such as SAS, Python, or R), model validation frameworks, and relevant regulatory standards (like SR 11-7 or CCAR) is crucial. Exceptional leadership, communication, and stakeholder management skills enable effective oversight and collaboration across business units. These competencies are essential to ensure robust model risk management, regulatory adherence, and organizational confidence in critical decision-making models.

What are the main challenges faced by a VP Model Governance in ensuring compliance across multiple business units?

A VP of Model Governance often navigates the challenge of implementing consistent model risk management standards across diverse business units, each with unique data, objectives, and regulatory requirements. Coordinating model validation, monitoring, and documentation processes while keeping up with evolving regulatory expectations requires strong cross-functional leadership and communication skills. Additionally, balancing the need for robust governance with operational efficiency and innovation is a key aspect of the role. Collaboration with risk, compliance, data science, and IT teams is common to ensure that all models meet both internal policies and external regulatory standards.

What is the difference between Vp Model Governance vs Model Risk Manager?

AspectVp Model GovernanceModel Risk Manager
Primary FocusOverseeing model governance frameworks, policies, and complianceIdentifying, assessing, and mitigating model risks
ResponsibilitiesEnsuring model validation, documentation, and regulatory adherenceManaging model risk assessments, testing, and issue resolution
CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFASimilar credentials; often FRM, CFA, or related certifications
Work EnvironmentStrategic, policy-driven, cross-departmental collaborationOperational, risk-focused, close work with model development teams

The Vp Model Governance primarily oversees the overall model governance framework, ensuring compliance and consistency across models. The Model Risk Manager focuses on identifying and mitigating risks associated with models. Both roles require similar credentials and often collaborate closely, but their core responsibilities differ in scope and focus.

What are popular job titles related to Vp Model Governance jobs?

For Vp Model Governance jobs, the most frequently searched job titles are:

Infographic showing various Vp Model Governance job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $212,138 per year, or $102 per hour.

Officer, Model and AI System Risk Management

Rosemont, IL • On-site

Wintrust
Finance and Insurance • 5 - 10K employees
Learn more about Wintrustexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

Key responsibilities

  • Perform independent validation of AI systems, machine learning models, and conventional models to assess their technical and functional soundness.

  • Develop and execute model validation testing plans, including quantitative and qualitative assessments such as back testing, sensitivity analysis, and benchmarking.

  • Review model documentation and governance to ensure compliance with regulations and internal policies, and manage activities related to model governance and reporting.

Wintrust rating

8.0

Company rating: 8.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC."
Why join us?
  • An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years).
  • Competitive pay and discretionary or incentive bonus eligible.
  • Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few.
  • Promote from within culture.

Why join this team?
  • We foster an inclusive environment for an individual to grow and work independently.
  • Opportunity to interact with management level, experienced professionals - higher visibility.
  • Wintrust has a great culture that comes from the top down.
  • Gain experience and further your career by joining a growing organization.

Position Overview
The Officer, Model and AI System Risk Management will conduct various activities related to enterprise model risk validation and model governance for AI Systems, Machine Learning models, as well as conventional models. This individual is accountable for independently validating the technical and functional soundness of bank-wide models including AI Systems, Machine Learning, CECL, Stress Testing, Anti-Money Laundering, Economic Sanctions, Customer Risk Ratings, Fair Lending, as well as valuation models.
What You'll Do
  • Perform independent and comprehensive validation of bank-wide AI systems/Machine Learning/statistical/econometric/ mathematical and qualitative (expert judgment) models in compliance with SR 26-02/OCC 2026-13, Model Risk Management (MRM) policy, AI policy, and internal procedures.
  • Develop a model validation testing plan commensurate with the model risk tier and perform quantitative and qualitative tests to assess models for conceptual soundness, implementation accuracy, data integrity, and performance accuracy, including back testing, sensitivity analysis, scenario analysis, benchmarking, and governance.
  • Provide effective and meaningful challenges during the following processes of model validation: Review of conceptual soundness; Review adequacy of modeling data; Materiality analysis of model assumptions and limitations; Review of model theoretical framework and design; Review of model performance.
  • Review of Model Documentation to ensure compliance with regulation/policy. Model documentation review should consist, amongst others, the following: Assessing the quality of model documentation; Reviewing documentation of developmental evidence; Review documentation of model governance; Review testing results in the model methodology document.
  • Design and execute a comprehensive and granular program for the following: Data Validation; Model theoretical framework and design; Assumptions and Limitations testing; Model Conceptual soundness; Back-testing; Model Effectiveness Testing, Sensitivity Analysis; Benchmarking for material portfolios; and developing benchmark Machine Learning models.
  • Maintain status updates and facilitate resolution/escalations of issues in a timely fashion.
  • Use MRM Model Validation tool to perform model validation activities.
  • The analyst in collaboration with the VP of Model Risk Management interfaces with key stakeholders throughout validation process to discuss justification and reasoning behind validation and review findings.
  • Manage activities related to model governance and assist VP model risk management in creating reports for the senior management, executive management, risk committees, and regulatory exams.
  • In collaboration with VP, Model Risk Management, determine whether response and remediation plan received from model owners and users in response to a finding adequately address findings. Follow up with model owners to ensure findings are remediated in a timely manner.

Qualifications
  • 2-5 Years of experience related to data science, AI systems, machine learning models, model development, and validation experience related to credit risk (Consumer and Commercial), Liquidity, Compliance (BSA/AML, Fair Lending), CECL.
  • Master's degree or PhD preferred.

Benefits
Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance
Compensation
The estimated salary range for this role is $100,000-$120,000, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience.
#LI-ONSITE
From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

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