1

Model Risk Manager Jobs in Cleveland, OH (NOW HIRING)

Experience in AI/ML or GenAI governance, model risk management, or technology risk management. Strong background in risk assessment, control evaluation, and issue remediation. Familiarity with ...

Enterprise Architect (IT)

Cleveland, OH · On-site +1

$102K - $208K/yr

Familiarity with technology risk management, operational resilience, data privacy, vendor governance, audit, or regulatory examination support. * Familiarity with AI governance, model risk ...

Client Manager - Project Risk

Akron, OH · On-site

$78K - $100K/yr

What You'll Need: 5-10+ years of experience in wrapup insurance, construction risk management, or ... Demonstrates a positive attitude and serves as a professional role model in client and team ...

Client Manager - Project Risk

Cleveland, OH · On-site

$79K - $101K/yr

What You'll Need: 5-10+ years of experience in wrapup insurance, construction risk management, or ... Demonstrates a positive attitude and serves as a professional role model in client and team ...

Client Manager - Project Risk

Cleveland, OH · On-site

$52K - $72K/yr

What You'll Need: • 5-10+ years of experience in wrap-up insurance, construction risk management ... model in client and team interactions. • Works effectively under pressure and consistently meets ...

Understanding of AI governance, model risk management, and responsible AI deployment practices. * Knowledge of natural language processing, computer vision, or other specialized AI domains.

next page

Showing results 1-20

Model Risk Manager information

See Cleveland, OH salary details

$49.9K

$108.2K

$164.9K

How much do model risk manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for model risk manager in Cleveland, OH is $108,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $125,100.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

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

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Cleveland, OH? For Model Risk Manager jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Cleveland, OH look for? The top searched job categories for Model Risk Manager jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Model Risk Manager jobs? Cities near Cleveland, OH with the most Model Risk Manager job openings:
GenAI Data Scientist

GenAI Data Scientist

PNC Bank

Strongsville, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

80th of 149 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a GenAI Data Scientist within PNC's Data and Automation GenAI Governance organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, Dallas, TX, or Denver, CO.
The GenAI Data Scientist - Governance Operations plays a critical role in ensuring that Generative AI (GenAI) solutions are implemented in alignment with enterprise governance, risk, and control standards. This role is responsible for executing Standards of Care (SOC) evaluations for complex and high-impact GenAI use cases, assessing risk and control effectiveness, validating evidence, and providing actionable feedback to solution owners and governance stakeholders.
This individual operates independently, applies strong judgment, and serves as a subject matter expert on GenAI governance execution, while also contributing insights to improve enterprise-level governance processes and tooling.
Core Responsibilities:
GenAI Governance Execution
Independently execute GenAI Risk and Control Assessment evaluations for complex, high-impact, or novel AI use cases.
Apply policy, procedure, and playbook requirements to SOC submissions, ensuring completeness, accuracy, and alignment to governance standards.
Validate evidence sufficiency and quality, including documentation, artifacts, and controls supporting SOC submissions.
Risk & Control Assessment
Identify, document, and articulate risk exposures, control gaps, and deficiencies, using sound judgment to differentiate isolated issues from systemic governance concerns.
Define and communicate remediation requirements and corrective actions aligned to enterprise standards.
Perform qualitative and quantitative risk analysis, including control effectiveness and residual risk considerations.
Stakeholder Engagement & Feedback
Provide structured, actionable SOC feedback to solution owners, engineers, and governance stakeholders.
Serve as a trusted subject matter expert (SME) on SOC execution standards, evaluation consistency, and appropriate SOC agent usage.
Partner with cross-functional stakeholders (legal, compliance, security, data science, engineering) to drive timely remediation and risk resolution.
Continuous Improvement & Portfolio Insights
Contribute to the refinement of SOC processes, tools, frameworks, and documentation based on execution insights.
Bridge individual use case execution to portfolio-level oversight, identifying trends, emerging risks, and recurring control weaknesses.
Escalate systemic issues when analytics, execution data, or trend analysis indicate broader governance risk.
Provide thought leadership on governance process improvements or intake optimizations that effectively reduce enterprise risk and operational burden.
Qualifications & Experience:
Experience in AI/ML or GenAI governance, model risk management, or technology risk management.
Strong background in risk assessment, control evaluation, and issue remediation.
Familiarity with enterprise governance frameworks and audit concepts.
Ability to clearly articulate complex technical and governance concepts to non-technical stakeholders.
Experience working in highly regulated or enterprise-scale environments preferred.
Tools & Technology
Standard Microsoft productivity suite (Excel, PowerPoint, Word, Teams, SharePoint)
Governance workflows, issue tracking, and documentation platforms
Exposure to AI/ML lifecycle tooling and model documentation is a plusPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
  • Participates in the data gathering, data processing and data mining of large and complex datasets.
  • Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
  • May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAI Governance, Analytical Thinking, Competitive Advantages, Control Assessment, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Machine Learning Methods, Model RiskCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $55,000.00 - $142,600.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/29/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


What PNC Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom