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Head Of Model Risk Management Jobs in Decatur, TX

Head of School

Southlake, TX ยท On-site

$60K - $80K/yr

... model co-developed with leaders in garden-based education. These schools are designed to grow ... The Head of School directly manages the Program Coordinator and Department Heads and partners ...

Head of School

Lantana, TX ยท On-site

$60K - $70K/yr

The Head of School directly manages the Program Coordinator and Department Heads and partners ... model Bring Fractal Nature Learning principles to life on campus Champion the school's identity ...

Head of GoldStar Who We Are Solera is the global leader in vehicle lifecycle management software-as-a-service, data, and services. Through four lines of business - vehicle claims, vehicle repairs ...

Head of GoldStar Who We Are Solera is the global leader in vehicle lifecycle management software-as-a-service, data, and services. Through four lines of business - vehicle claims, vehicle repairs ...

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Head Of Model Risk Management information

See Decatur, TX salary details

$48.3K

$128K

$232.4K

How much do head of model risk management jobs pay per year?

As of Jun 16, 2026, the average yearly pay for head of model risk management in Decatur, TX is $127,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $149,700.00 per year, depending on experience, location, and employer.

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.
What job categories do people searching Head Of Model Risk Management jobs in Decatur, TX look for? The top searched job categories for Head Of Model Risk Management jobs in Decatur, TX are:
What cities near Decatur, TX are hiring for Head Of Model Risk Management jobs? Cities near Decatur, TX with the most Head Of Model Risk Management job openings:

Senior Specialist, Financial Crimes and Digital Assets

Charles Schwab Inc.

Southlake, TX โ€ข On-site

$75K - $105K/yr

Full-time

Posted 19 days ago


Job description

Your Opportunity
At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
Model Risk Oversight serves as a strategic function within Corporate Risk Management, leveraging a wide range of models to develop innovative client solutions and effectively manage financial and reputational risks through advanced quantitative methodologies. The Model Risk Oversight team is responsible for identifying, reviewing, and monitoring all models deployed across the organization.
We are seeking applications for the Senior Specialist, focused on model validation and broader contributions to the Model Risk Oversight team. Candidates should possess strong quantitative skills.
Job responsibilities include:
  • Validating models, covering usage, documentation, conceptual soundness, data integrity, controls, and software.
  • Delivering model validation reports and presenting findings to model owners and senior management.
  • Collaborating with internal analysts and external consultants.
  • Reviewing model performance monitoring and conducting annual model reviews.

What you have
Required Qualifications:
  • An advanced degree in statistics, math, physics, engineering, or economics
  • Proficiency in Python, SAS, R, and other statistical or programming languages

Preferred Qualifications:
  • Experience in model validation
  • Understanding of regulations and compliance related to digital assets, fraud, BSA, AML, and cybersecurity
  • Understanding of model governance and related regulatory guidance
  • Ph.D. in quantitative discipline (statistics, mathematics, physics, economics
  • CFA, FRM, ACAMS and digital asset related certifications
  • Experience working as a quant in the financial industry
  • Effective communicator, both verbally and in writing
  • Strong interpersonal skills

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