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Model Risk Jobs in Georgia (NOW HIRING)

Audit Project Manager - Model Risk

Atlanta, GA

$100K - $131.30K/yr

This Audit Project Manager position supports the Model Risk team within Corporate Audit Services. This role is primarily responsible for managing and executing the administrative aspects of ...

Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...

Recommending improvements to model risk management systems and processes. b. Being knowledgeable of the organization, operations, policies, and procedures related to the use and management of models ...

This role requires a deep understanding of statistical modeling, machine learning algorithms, and risk management frameworks. The ideal candidate will work closely with data scientists, engineers ...

The Model Validation Director is expected to lead and execute model validation testing processes on systems which support Financial Crime programs, including transaction monitoring, customer risk ...

Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and development. Develop internal models and support solution development for Tokio Marine Holdings and Tokio ...

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Model Risk information

See Georgia salary details

$12

$25

$62

How much do model risk jobs pay per hour?

As of May 31, 2026, the average hourly pay for model risk in Georgia is $25.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $32.69 per hour, depending on experience, location, and employer.

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

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What are some typical challenges faced by professionals working in Model Risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What are the most commonly searched types of Model Risk jobs in Georgia? The most popular types of Model Risk jobs in Georgia are:

AI Model Risk Validation Specialist

The Mutual Group

Atlanta, GA • Hybrid

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Department:

Information Technology

Job Description:

Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers.

This is a highly hands-on individual contributor role focused exclusively on AI Systems, with emphasis on predictive models impacting underwriting, claims, and decision-making. The role supports the AIS Program by providing objective, technical validation input into governance and approval decisions.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Model Validation (Core Responsibility)

  • Perform independent validation of AI/ML models, including:

    • Model design, methodology, and assumptions

    • Training and test data quality and representativeness

    • Performance metrics, thresholds, and benchmarking

  • Review vendor-provided FactSheets and technical documentation for completeness and accuracy

Risk Assessment

  • Evaluate key model risks, including:

    • Bias and fairness

    • Explainability and interpretability

    • Model limitations and edge cases

  • Assess alignment with:

    • NAIC expectations

    • Model risk management practices

  • Identify gaps and recommend risk mitigation strategies

Governance Integration

  • Provide independent validation input into AI governance decisions

  • Support the AIS / Security Governance Team by contributing technical risk perspectives during AI system reviews

  • Act as a second-line reviewer to challenge assumptions and strengthen decision-making

Ongoing Monitoring

  • Lead twice-annual validation of AI Systems

  • Monitor predictive models for:

    • Drift

    • Stability

    • Performance degradation

  • Ensure monitoring practices align with AIS Program requirements

  • Recommend corrective actions when performance or risk thresholds are breached

Documentation & Audit Support

  • Maintain model validation documentation for:

    • Internal audit

    • Regulatory review

  • Ensure validation results are:

    • Clearly documented

    • Traceable and reproducible

  • Support inquiries with technical analysis and evidence

Qualifications:

  • 5+ years in data science, model risk management, or AI/ML validation

  • Experience working with predictive models in regulated environments (insurance or financial services preferred)

  • Strong understanding of:

    • Machine learning models and statistical techniques

    • Model evaluation and validation methodologies

    • Bias and fairness concepts

    • Model lifecycle management

  • Familiarity with:

    • NAIC AI Model Bulletin

    • NIST AI RMF

    • Model governance and validation standards

  • Ability to translate technical findings into business and risk implications

Pay Range:

Anticipated Hiring Range:

  • $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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