1

Model Risk Governance Jobs in Illinois (NOW HIRING)

Head of Risk

Chicago, IL · On-site

$225K - $300K/yr

Experience with enterprise risk governance, Board-level risk reporting, and risk committee leadership. * Expert quantitative skills in risk modeling, VaR, stress testing, scenario analysis, and back ...

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

Sr Machine Learning Engineer

Chicago, IL · On-site

$126.30K - $166.50K/yr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

... Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

AI Engineer

Chicago, IL · On-site +1

$17.50K/mo

Awareness of financial-industry considerations: data privacy, model risk/governance, auditability, and secure development practices. * Excellent communication skills and the ability to influence and ...

New

next page

Showing results 1-20

Model Risk Governance information

See Illinois salary details

$9

$44

$138

How much do model risk governance jobs pay per hour?

As of May 28, 2026, the average hourly pay for model risk governance in Illinois is $44.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $69.90 per hour, depending on experience, location, and employer.

What is a Model Risk Governance job?

A Model Risk Governance job involves overseeing the policies, procedures, and frameworks used to manage model risk within an organization. Professionals in this role ensure that models used for decision-making in areas like finance, risk management, and compliance are properly validated, monitored, and updated. They work closely with model developers, risk managers, and regulators to enforce governance standards and mitigate potential risks. Key responsibilities include establishing model validation processes, conducting risk assessments, and ensuring compliance with regulatory requirements.

What are the key skills and qualifications needed to thrive in the Model Risk Governance position, and why are they important?

To excel in Model Risk Governance, you typically need a strong background in quantitative finance, statistics, or a related field, often with advanced degrees such as a master's or Ph.D., and experience in risk management. Familiarity with model validation tools, programming languages like Python or R, and regulatory frameworks such as SR 11-7 or Basel guidelines is highly valued. Strong analytical thinking, communication skills, and the ability to manage multiple stakeholders are key soft skills for this position. These competencies ensure effective oversight of model risk, facilitate regulatory compliance, and enable clear communication of complex technical issues to non-technical stakeholders.

What are some typical challenges faced in a Model Risk Governance role?

Professionals in Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring comprehensive documentation for models, and maintaining effective communication between technical modelers and business stakeholders. Balancing rigorous model validations with tight project timelines can also be demanding, especially when coordinating input from various teams. Overcoming these hurdles requires a proactive approach to learning, strong organizational skills, and the ability to translate complex quantitative issues into actionable insights for decision-makers. These challenges make the work dynamic and offer significant opportunities to influence critical risk management processes within the organization.
What are the most commonly searched types of Model Risk Governance jobs in Illinois? The most popular types of Model Risk Governance jobs in Illinois are:
What job categories do people searching Model Risk Governance jobs in Illinois look for? The top searched job categories for Model Risk Governance jobs in Illinois are:
Infographic showing various Model Risk Governance job openings in Illinois as of May 2026, with employment types broken down into 79% Full Time, 11% Part Time, and 10% Contract. Highlights an 68% In-person, 10% Hybrid, and 22% Remote job distribution, with an average salary of $92,141 per year, or $44.3 per hour.
Senior GRC Advisor - Data & AI Governance

Senior GRC Advisor - Data & AI Governance

Bmo

Chicago, IL • On-site

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Data And Ai Governance Risk Manager

Application Deadline: 06/25/2026

Address: 320 S Canal Street

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 AI‑related processes from an advisory and challenge perspective.
  • Provides governance and control advisory support to business partners, clarifying expectations and risk considerations without directing operational decision‑making.
  • 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 decision‑making 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 second‑line functions.
  • Acts as a trusted governance, risk, and control advisor to stakeholders, balancing effective challenge with collaboration.
  • Develops a deep understanding of end‑to‑end 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 critical‑thinking 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 second‑line 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.


BMO logo

About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

Social media