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Model Risk Officer Jobs (NOW HIRING)

BOK Financial

Model Risk Governance Officer

Tulsa, OK · On-site

As a Model Risk Governance Officer, you'll work across the bank to evaluate models, provide independent challenge, and deliver insights that help leaders operate within the organization's risk ...

BOK Financial

Model Risk Governance Officer

Tulsa, OK · On-site

As a Model Risk Governance Officer, you'll work across the bank to evaluate models, provide independent challenge, and deliver insights that help leaders operate within the organization's risk ...

Bing Recruitment

Chief Risk Officer

Philadelphia, PA · On-site +1

$185K - $250K/yr

Chief Risk Officer DEPT: Executive REPORTS TO: President CLASSIFICATION: Exempt, Full-Time Location ... Strong quantitative skills to interpret complex data and risk models. · Proficient with Microsoft ...

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Model Risk Officer information

See salary details

$32.5K

$105.6K

$160K

How much do model risk officer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for model risk officer in the United States is $105,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Model Risk Officers when collaborating with different departments?

Model Risk Officers often work closely with teams in risk management, quantitative analytics, audit, and IT. A common challenge is ensuring effective communication between technical model developers and non-technical stakeholders, as complex model concepts must be clearly explained for informed decision-making. Navigating differing priorities—such as balancing regulatory compliance with business objectives—can also present difficulties. Successful Model Risk Officers proactively foster cross-functional relationships and use clear documentation to bridge these gaps, ensuring model risks are well-understood and appropriately managed across the organization.

What are Model Risk Officers?

Model Risk Officers are professionals responsible for managing and overseeing the risks associated with the use of quantitative models in financial institutions. They ensure that models used for decision-making, such as credit risk, market risk, or capital assessment, are accurate, reliable, and compliant with regulatory requirements. Their duties include validating models, identifying potential weaknesses or limitations, and implementing controls to mitigate model-related risks. Model Risk Officers play a critical role in safeguarding an organization against financial losses or regulatory penalties that may arise from model failures.

What is the difference between Model Risk Officer vs Quantitative Analyst?

AspectModel Risk OfficerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFADegree in finance, mathematics, or economics; often CFA or related certifications
Work EnvironmentFinancial institutions, risk management teams, regulatory complianceInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in banking, insurance, and financial services for risk oversightAcross finance sectors focusing on modeling, trading, and investment analysis

The Model Risk Officer focuses on identifying, assessing, and mitigating risks associated with financial models, ensuring compliance and accuracy. In contrast, a Quantitative Analyst develops and implements complex models for trading, valuation, and investment decisions. While both roles require strong quantitative skills and similar credentials, their primary functions and work environments differ, with the Model Risk Officer emphasizing risk management and regulatory adherence.

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

To thrive as a Model Risk Officer, you need strong quantitative analysis skills, a background in finance or mathematics, and experience with model validation principles, typically supported by an advanced degree in a quantitative field. Familiarity with risk management frameworks, statistical modeling software (such as SAS, R, or Python), and relevant regulatory guidelines (like SR 11-7) is essential. Excellent critical thinking, communication, and stakeholder management skills help you explain complex model risks and recommendations effectively. These skills ensure robust model governance, regulatory compliance, and informed decision-making within financial institutions.
More about Model Risk Officer jobs
What states have the most Model Risk Officer jobs? States with the most job openings for Model Risk Officer jobs include:
What job categories do people searching Model Risk Officer jobs look for? The top searched job categories for Model Risk Officer jobs are:
Model Risk Officer jobs near you
Infographic showing various Model Risk Officer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $105,602 per year, or $50.8 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

Posted 2 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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