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Model Risk Manager Jobs in Iowa (NOW HIRING)

Proficient in financial modeling, data analysis, and portfolio management software * Forward ... Integrity to uphold risk management principles * Ability to challenge conventional practices and ...

This role will have a direct impact on Farmer Mac's credit risk models and portfolio credit risk reporting products, with visibility to senior management. Where You Will Work Farmer Mac embraces a ...

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Model Risk Manager information

See Iowa salary details

$48.4K

$104.8K

$159.7K

How much do model risk manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for model risk manager in Iowa is $104,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $121,200.00 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 Iowa? For Model Risk Manager jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Iowa look for? The top searched job categories for Model Risk Manager jobs in Iowa are:
Infographic showing various Model Risk Manager job openings in Iowa as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,781 per year, or $50.4 per hour.

AVP Operational & Model Risk

Athene Holding Ltd.

West Des Moines, IA • On-site

Full-time

Posted 5 days ago


Job description

We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.
Purpose:
The AVP Operational and Model Risk plays a critical leadership role in advancing Athene's Operational and Model Risk Management frameworks. This role is responsible for driving consistent, high-quality execution of risk practices across the organization while partnering closely with business and functional leaders to strengthen risk identification, governance, and decision-making.
As part of Athene's broader risk organization, and backed by the scale and capabilities of Apollo, this role offers the opportunity to influence risk strategy across a complex, fast-growing platform. The ideal candidate brings a balance of technical risk expertise, leadership capability, and a proactive mindset to continuously enhance risk frameworks and drive meaningful business impact.
Accountabilities:
  • Lead the execution and continuous enhancement of Operational and Model Risk Management frameworks, ensuring consistent application across business units and alignment with risk appetite and regulatory expectations
  • Oversee operational risk assessments, incident and issue management, and risk monitoring activities, identifying key themes, emerging risks, and opportunities for improved controls and mitigation
  • Drive model risk governance processes, including oversight of model inventory, validation activities, and lifecycle management, ensuring robust documentation, transparency, and audit readiness
  • Partner with business leaders, actuarial, and functional stakeholders to provide effective challenge, support risk-informed decision-making, and ensure strong adoption of risk practices
  • Lead the development of clear, decision-useful reporting and insights for senior leadership and risk governance forums, including committees and regulatory engagements
  • Drive improvements to risk systems, tools, and processes, including the adoption of technology and AI-enabled capabilities to enhance efficiency, scalability, and transparency
  • Lead, develop, and coach a high-performing team, fostering a strong risk culture, accountability, and continuous learning across the function
  • Serve on the cross-functional AI forums, providing an Operational Risk perspective on the evaluation, adoption, and governance of AI and machine learning tools.

Qualifications and Experience:
  • 8+ years of relevant experience in operational risk, model risk, or related disciplines within financial services or insurance, including direct or indirect people leadership experience
  • Strong knowledge of operational and model risk frameworks, including risk assessment, incident management, and model lifecycle governance
  • Proven ability to influence stakeholders and provide effective challenge in a complex, cross-functional environment
  • Experience driving process improvements, governance enhancements, or risk framework maturity initiatives
  • Bachelor's degree in Business, Finance, Risk Management, or related field; advanced degree preferred

Drive. Discipline. Confidence. Focus. Commitment. Learn more about working at Athene.
Athene is a Military Friendly Employer! Learn more about how we support our Veterans.
Athene is committed to inclusion and is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, veteran status or any other status protected by federal, state or local law.