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

Sabio infotech

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

... model lifecycle management, monitoring, validation, version control, auditability, and AI governance. · Collaborate with Risk, Compliance, Information Security, and business partners to ensure ...

Incedo Inc

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Establish and maintain frameworks for MLOps, model lifecycle management, monitoring, validation, version control, auditability, and AI governance . * Collaborate with Risk, Compliance, Information ...

Alpha Generation LLC

Sr. Risk Analyst

Middletown, OH · On-site

$80 - $100/hr

Provide model development for pricing, valuation, and risk metrics using historical and forecast market data. * Manage enhancements, configurations, and user support for the PCI ETRM system. * Lead ...

Beech Acres

Risk Management & QI Specialist

Cincinnati, OH · On-site

$23.61 - $26.23/hr

And much more The Risk Management & Quality Improvement Specialist serves as the primary support ... This position operates within a shared team model partnering closely with the Compliance & HIPAA ...

US Bank

Senior AI/ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

Ensure compliance with Responsible AI, Model Risk Management, security, privacy, governance, and regulatory requirements while operating within a highly regulated financial services environment.

Incedo Inc

Devops Engineer

Cincinnati, OH · On-site

$50.75 - $69.50/hr

Experience implementing AI governance, Responsible AI, or Model Risk Management controls. * Experience automating incident response, production support, operational workflows, and vulnerability ...

Haas F1 Team

Junior Model Maker

Independence, KY

Support audit, governance, and risk management activities as required. Continuous Improvement ... Category B driving license. Brief experience as a model maker in motorsport or high-tech workshops ...

Haas F1 Team

Junior Model Maker

Independence, KY · On-site

... and risk management activities as required. Continuous Improvement: • Contribute ideas and ... model maker in motorsport or high-tech workshops, with a strong motivation to learn and grow ...

Haas F1 Team

Senior Model Maker

Independence, KY

General Summary This role reports to the Team Leader Model Maker or their designee and is based in ... Support audit, governance, and risk management activities as required. Continuous Improvement:

Haas F1 Team

Senior Model Maker

Independence, KY · On-site

General Summary This role reports to the Team Leader Model Maker or their designee and is based in ... Support audit, governance, and risk management activities as required. Continuous Improvement:

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Showing results 21-40

All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in Cincinnati, OH

Model Risk Manager information

See Cincinnati, OH salary details

$50.3K

$108.9K

$165.9K

How much do model risk manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for model risk manager in Cincinnati, OH is $108,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $125,900.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to be a model risk manager?

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 are 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 popular job titles related to Model Risk Manager jobs in Cincinnati, OH?

For Model Risk Manager jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Model Risk Manager jobs in Cincinnati, OH look for?

The top searched job categories for Model Risk Manager jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Model Risk Manager jobs?

Cities near Cincinnati, OH with the most Model Risk Manager job openings:

Model Risk Manager jobs near you

Sr. Machine Learning Engineer

Cincinnati, OH • On-site

Sabio infotech
See more jobs at Sabio infotechexternal

$100K - $137K/yr

Other

Posted 12 days ago

Job description

Sr. Machince Learning Engineer
Location: Cincinnati OH (Hybrid - 3 Days Onsite)
Duration: 1+ Year
 
Key Responsibilities
· Design, develop, deploy, and maintain scalable machine learning and Generative AI solutions with a focus on reliability, performance, security, and business value.
· Champion an automation-first approach to software and AI engineering, identifying opportunities to improve operational efficiency and reduce manual processes.
· Build and operationalize machine learning models and AI-enabled applications throughout the entire model lifecycle, from experimentation to production deployment and monitoring.
· Develop and deploy Generative AI applications in production environments, preferably within financial services or other highly regulated industries.
· Apply and advocate Responsible AI principles, ensuring solutions meet requirements for fairness, explainability, transparency, privacy, security, and compliance.
· Perform model risk evaluations, complete required governance documentation and questionnaires, and partner with stakeholders to address and remediate identified risks.
· Establish and maintain frameworks for MLOps, model lifecycle management, monitoring, validation, version control, auditability, and AI governance.
· Collaborate with Risk, Compliance, Information Security, and business partners to ensure machine learning solutions meet enterprise and regulatory standards.
· Implement CI/CD pipelines, automated testing, model monitoring, observability, and production support processes for machine learning applications.
· Evaluate emerging machine learning and AI technologies and recommend appropriate adoption strategies.
· Mentor team members on best practices in machine learning engineering, MLOps, Responsible AI, and production AI systems.
 
Required Qualifications
· Extensive experience designing, developing, and deploying machine learning solutions in production environments.
· Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks.
· Strong understanding of machine learning model development, feature engineering, model evaluation, performance optimization, and model monitoring.
· Experience conducting model risk assessments and supporting governance, compliance, and validation requirements within regulated environments.
· Practical experience implementing MLOps practices including model deployment, versioning, monitoring, automated retraining, and CI/CD pipelines.
· Strong understanding of Responsible AI, model explainability, governance, and risk management concepts.
· Proficiency in Python and modern machine learning ecosystems, including frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, or equivalent technologies.
· Strong communication, problem-solving, and stakeholder management skills.

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