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Head Of Model Risk Management Jobs (NOW HIRING)

TAB Bank

Model Risk Management Analyst

Ogden, UT · On-site

We are looking for a Model Risk Management Analyst to join our BI/Data Analytics team at TAB Bank ... The primary function of this role will be to support the Bank's strategic partner program by ...

TAB Bank

Model Risk Management Analyst

Ogden, UT

We are looking for a Model Risk Management Analyst to join our BI/Data Analytics team at TAB Bank ... The primary function of this role will be to support the Bank's strategic partner program by ...

DriveWealth

Head of Risk Management

New York, NY

About the Role As the Head of Enterprise Risk Management (ERM) at DriveWealth, you will serve as the architect of a world-class risk infrastructure for the pioneer of "Brokerage-as-a-Service." In an ...

Weekday AI

Head of Risk Management

Italy, TX

Set up and manage the Risk Management Framework : Establish appropriate risk policies and ... The Head of Risk has to undergo the MFSA PQ process. Required Skills The incumbent is expected to ...

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BOK Financial

Model Risk Governance Officer

Tulsa, OK · On-site

Tulsa -TUL, Dallas -DAL, Fort Worth -FTWT, Oklahoma City -OKC Areas of Interest: Risk Management ... As a Model Risk Governance Officer, you'll work across the bank to evaluate models, provide ...

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Head Of Model Risk Management information

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$54K

$143.2K

$260K

How much do head of model risk management jobs pay per year?

As of Jul 19, 2026, the average yearly pay for head of model risk management in the United States is $143,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Head Of Model Risk Management, and why are they important?

To thrive as a Head Of Model Risk Management, you need deep quantitative expertise, advanced knowledge of risk management frameworks, and a strong background in finance or mathematics, often supported by advanced degrees such as a PhD or MSc. Familiarity with statistical software (like Python, R, or SAS), model validation tools, and regulatory compliance systems is typically required. Exceptional leadership, communication, and critical thinking skills are essential for effectively managing teams and presenting complex risk issues to stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and sound decision-making within financial institutions.

What is the difference between Head Of Model Risk Management vs Model Validation Manager?

AspectHead Of Model Risk ManagementModel Validation Manager
Primary FocusOversees overall model risk framework, governance, and strategyConducts independent validation and testing of models
ResponsibilitiesRisk oversight, policy development, senior stakeholder communicationModel testing, performance assessment, validation reports
CredentialsAdvanced degrees, certifications like FRM, CFA, or CAMS, experience in risk managementQuantitative background, certifications like CFA, FRM, strong modeling expertise
Work EnvironmentStrategic, leadership role within risk management teamsTechnical, analytical role focused on model validation tasks

The Head Of Model Risk Management oversees the entire model risk framework, focusing on strategy and governance, while the Model Validation Manager specializes in testing and validating individual models. Both roles require strong quantitative skills and relevant certifications, but differ in scope and responsibilities.

What are the main challenges faced by a Head of Model Risk Management in maintaining regulatory compliance?

A Head of Model Risk Management often faces the challenge of keeping up with evolving regulatory expectations and ensuring that all models used within the organization are compliant. This involves constantly monitoring regulatory updates, coordinating with various departments to implement necessary changes, and maintaining detailed documentation for audit purposes. Additionally, the role requires balancing the need for innovation in modeling techniques with the necessity of robust risk controls and transparent validation processes. Regular communication with risk, compliance, and audit teams is essential to address these challenges effectively.

What does a Head of Model Risk Management do?

A Head of Model Risk Management oversees the processes and teams responsible for identifying, assessing, and mitigating risks associated with financial and predictive models used within an organization. This role involves establishing and maintaining model risk frameworks, ensuring regulatory compliance, and leading model validation activities. They also coordinate with other departments to ensure the effective management and governance of all models, providing guidance on best practices and emerging risks. Ultimately, their goal is to minimize model-related losses and support sound decision-making across the business.
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What cities are hiring for Head Of Model Risk Management jobs? Cities with the most Head Of Model Risk Management job openings:
What states have the most Head Of Model Risk Management jobs? States with the most job openings for Head Of Model Risk Management jobs include:
What job categories do people searching Head Of Model Risk Management jobs look for? The top searched job categories for Head Of Model Risk Management jobs are:
Head Of Model Risk Management jobs near you
Infographic showing various Head Of Model Risk Management job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $143,185 per year, or $68.8 per hour.
Officer, Model and AI System Risk Management

Officer, Model and AI System Risk Management

Wintrust

Rosemont, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago

Wintrust rating

8.0

Company rating: 8.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

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 $85,000-$110,000, 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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