1

Director Model Risk Governance Jobs in Chicago, IL

Head of Risk

Chicago, IL · On-site

$225K - $300K/yr

S.-regulated, direct access electricity derivatives market, offering financial products to address ... Build the risk governance structure including policies, procedures, and escalation frameworks.

This individual will also perform testing in model governance audits and be involved in other ... Considerable experience taking a risk-based, solutions-oriented approach to audit execution and ...

next page

Showing results 1-20

Director Model Risk Governance information

See Chicago, IL salary details

$55.6K

$147.5K

$267.8K

How much do director model risk governance jobs pay per year?

As of Jun 15, 2026, the average yearly pay for director model risk governance in Chicago, IL is $147,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $172,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

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

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
What are the most commonly searched types of Model Risk Governance jobs in Chicago, IL? The most popular types of Model Risk Governance jobs in Chicago, IL are:
What are popular job titles related to Director Model Risk Governance jobs in Chicago, IL? For Director Model Risk Governance jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Chicago, IL look for? The top searched job categories for Director Model Risk Governance jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Director Model Risk Governance jobs? Cities near Chicago, IL with the most Director Model Risk Governance job openings:

Senior GRC Advisor - Data & AI Governance

BMO Capital Markets

Chicago, IL

Full-time

Medical, Life, Retirement

Posted 11 days ago


Job description

Application Deadline:

06/25/2026

Address:

320 S Canal Street

Job Family Group:

Business Management

Role Overview

The three must haves when it comes to experience and certifications

  • Data and AI Governance experience

  • Risk management experience.

  • CDMP and/or AIGP certifications.

This role directly reports to and supports the Associate Director of T&O Risk (1B) - Business Risk Advisory and Controls - Testing & Advisory. The candidate will provide independent advisory, oversight, and validation of governance, risk, and control activities that support Enterprise Data Governance and AI Governance. The candidate will also support Product/Service/Process Risk Assessments (PSPRA) and Regulatory Compliance Risk Assessment (RCRA), maintain Process Risk and Control (PRC) libraries and advise on Key Risk Indicators (KRIs), etc. The role works in close collaboration with First Line of Defense (1LOD) and Regulatory Compliance and Risk related Second Line of Defense (2LOD) partners to support and strengthen governance and risk management across the enterprise.

Key Responsibilities

Governance, Risk & Compliance (Advisory)

  • Maintains a strong understanding of applicable regulatory requirements, industry standards, and internal policy frameworks; monitors changes and provides timely governance, risk, and control insights.

  • Supports PSPRA, RCRA and other risk assessment activities across Data Governance and AIrelated processes from an advisory and challenge perspective.

  • Provides governance and control advisory support to business partners, clarifying expectations and risk considerations without directing operational decisionmaking.

  • Applies governance frameworks and control principles to assess alignment of business practices with enterprise standards and risk appetite.

  • Communicates governance, risk, and control considerations clearly to stakeholders, supporting informed decisionmaking and consistent application of expectations.

Governance Advisory & Enablement

  • Serves as a governance advisor to business and technology stakeholders, providing guidance on risk management practices, control design considerations, and policy interpretation.

  • Supports the development, refinement, and socialization of governance standards, procedures, and guidance related to Data and AI risk management.

  • Facilitates governance forums, working sessions, and stakeholder discussions to promote shared understanding of governance expectations and emerging risks.

  • Reviews governance artifacts, assessments, and documentation prepared by others to provide advisory feedback on completeness, clarity, and alignment with governance and risk standards.

  • Identifies governance gaps, emerging risks, or areas of inconsistency and escalates observations with clear articulation of risk and impact.

  • Prepares governance summaries, advisory materials, and reporting to support leadership oversight and informed risk discussions.

Relationship Management & Collaboration

  • Builds and maintains strong working relationships with internal and external partners, particularly across first and secondline functions.

  • Acts as a trusted governance, risk, and control advisor to stakeholders, balancing effective challenge with collaboration.

  • Develops a deep understanding of endtoend business processes related to data and AI model risk management and lifecycle management to provide relevant and practical guidance.

  • Partners with stakeholders to support governance alignment while respecting ownership and accountability within the first line of defense.

General Responsibilities

  • Continuously enhances knowledge and skills in Data and AI governance, compliance, and risk management.

  • Works independently, exercising sound judgment to identify, assess, and escalate governance or control concerns within defined guidelines.

  • May assume additional responsibilities aligned with governance, risk, and control advisory needs.

  • Coaches and mentors junior staff to strengthen governance understanding, consistency, and advisory effectiveness across the team.

Qualifications Required

  • Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.

  • Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.

  • Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.

  • Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).

  • Strong analytical and criticalthinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.

  • Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first and secondline functions.

  • Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.

  • Required professional certifications:

    • CDMP - Certified Data Management Professional (by DAMA)

    • CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)

  • Preferred certifications:

    • AIGP - Artificial Intelligence Governance Professional (by IAPP)

    • ISO/IEC 42001 - AI Lead Auditor/Implementer (by ISO)

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.