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Model Risk Jobs in Louisiana (NOW HIRING)

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VP, Credit Risk Model Validation

Central, LA · On-site

$80 - $140/hr

The Risk Analytics Division primary functions include 1) Ensuring a robust internal validation system, 2) Validating new internally developed and vendor-developed models and 3) Conducting annual ...

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Model Risk information

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 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 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 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 does a model risk do?

A model risk professional assesses and manages the risks associated with using mathematical and statistical models in financial and operational decision-making. They review model accuracy, validate assumptions, and ensure compliance with regulatory standards, often using tools like SAS or R. Their work helps prevent financial loss due to model errors or misestimations.

What does a model risk specialist do?

A model risk specialist evaluates and manages risks associated with financial or operational models used by organizations. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent model errors that could lead to financial loss or regulatory issues.

What are popular job titles related to Model Risk jobs in Louisiana?

For Model Risk jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Model Risk jobs in Louisiana look for?

The top searched job categories for Model Risk jobs in Louisiana are:

Model Risk jobs near you
Infographic showing various Model Risk job openings in Louisiana as of August 2026, with employment types broken down into 2% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Model Risk Validation Specialist

TMG Insurance Services, LLC

Iowa, LA • On-site

$100 - $135/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Department: Information Technology

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 in‑office 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 and 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, and 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 and 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
  • Competitive base salary plus incentive plans for eligible team members
  • 401(K) retirement plan with a company match of up to 6% of eligible salary
  • Free basic life and AD&D, long‑term disability, and short‑term disability insurance
  • Medical, dental, and vision plans to meet healthcare needs
  • Wellness incentives
  • Generous time‑off program including personal, holiday, and volunteer paid time off
  • Flexible work schedules and hybrid/remote options for eligible positions
  • Educational assistance
Equal Opportunity Employment

The Mutual Group is 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.

All offers of employment are contingent upon the successful completion of a background check. The Mutual Group participates in the E‑Verify program 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 from employment discrimination based on citizenship status and national origin.

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