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Head Of Model Risk Management Jobs in Iowa (NOW HIRING)

Aegon

Head of Credit Risk

Cedar Rapids, IA · On-site

The Head of Credit Risk Management will help to build broader credit risk capability through cross ... Proficient in financial modeling, data analysis, and portfolio management software * Forward ...

Krause Group

Head of Finance

Des Moines, IA

The Head of Finance serves as the senior financial leader for the global organization, responsible ... Evaluate investment opportunities and provide financial modeling and risk analysis * Manage ...

Coviance, Inc

Head of Finance

West Des Moines, IA

Lead budgeting, forecasting, financial modeling, and long-range planning processes. * Develop key ... Support risk management initiatives and corporate governance requirements. Board & Investor ...

Coviance, Inc

Head of Finance

West Des Moines, IA · On-site

Lead budgeting, forecasting, financial modeling, and long-range planning processes. * Develop key ... Support risk management initiatives and corporate governance requirements. Board & Investor ...

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Head Of Model Risk Management information

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

To thrive as a Head Of Model Risk Management, you need deep quantitative expertise, advanced knowledge of risk management frameworks, and a strong background in finance or mathematics, often supported by advanced degrees such as a PhD or MSc. Familiarity with statistical software (like Python, R, or SAS), model validation tools, and regulatory compliance systems is typically required. Exceptional leadership, communication, and critical thinking skills are essential for effectively managing teams and presenting complex risk issues to stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and sound decision-making within financial institutions.

What is the difference between Head Of Model Risk Management vs Model Validation Manager?

AspectHead Of Model Risk ManagementModel Validation Manager
Primary FocusOversees overall model risk framework, governance, and strategyConducts independent validation and testing of models
ResponsibilitiesRisk oversight, policy development, senior stakeholder communicationModel testing, performance assessment, validation reports
CredentialsAdvanced degrees, certifications like FRM, CFA, or CAMS, experience in risk managementQuantitative background, certifications like CFA, FRM, strong modeling expertise
Work EnvironmentStrategic, leadership role within risk management teamsTechnical, analytical role focused on model validation tasks

The Head Of Model Risk Management oversees the entire model risk framework, focusing on strategy and governance, while the Model Validation Manager specializes in testing and validating individual models. Both roles require strong quantitative skills and relevant certifications, but differ in scope and responsibilities.

What are the main challenges faced by a Head of Model Risk Management in maintaining regulatory compliance?

A Head of Model Risk Management often faces the challenge of keeping up with evolving regulatory expectations and ensuring that all models used within the organization are compliant. This involves constantly monitoring regulatory updates, coordinating with various departments to implement necessary changes, and maintaining detailed documentation for audit purposes. Additionally, the role requires balancing the need for innovation in modeling techniques with the necessity of robust risk controls and transparent validation processes. Regular communication with risk, compliance, and audit teams is essential to address these challenges effectively.

What does a Head of Model Risk Management do?

A Head of Model Risk Management oversees the processes and teams responsible for identifying, assessing, and mitigating risks associated with financial and predictive models used within an organization. This role involves establishing and maintaining model risk frameworks, ensuring regulatory compliance, and leading model validation activities. They also coordinate with other departments to ensure the effective management and governance of all models, providing guidance on best practices and emerging risks. Ultimately, their goal is to minimize model-related losses and support sound decision-making across the business.
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Head Of Model Risk Management jobs near you

AVP Operational & Model Risk

Athene Holding Ltd.

West Des Moines, IA • On-site

Full-time

Posted 16 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.

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