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Model Risk Jobs in Georgia (NOW HIRING)

Tmhcc

Senior Catastrophe Risk Modeler

Alpharetta, GA · Hybrid

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 ...

Tmhcc

Senior Catastrophe Risk Modeler

Kennesaw, GA · Hybrid

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 ...

Tmhcc

Senior Catastrophe Risk Modeler

Duluth, GA · Hybrid

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

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 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 the most commonly searched types of Model Risk jobs in Georgia? The most popular types of Model Risk jobs in Georgia are:
What are popular job titles related to Model Risk jobs in Georgia? For Model Risk jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Model Risk jobs in Georgia look for? The top searched job categories for Model Risk jobs in Georgia are:
Model Risk jobs near you
Infographic showing various Model Risk job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Responsible AI Framework Specialist

Responsible AI Framework Specialist

Lexisnexis Risk Solutions

Alpharetta, GA • On-site, Remote

$71K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role

We are seeking aResponsible AI Framework Specialist to help architect and maintain our governance infrastructure. In this role, you willhelp to design and implement the policies and procedures that ensure our internal teams remain aligned withResponsible AIstandards across the product workflow. You will partner directly withproduct,engineering,operations, anddata scienceteams to unify our systems and infrastructure, fostering seamless cross-functional collaboration and technical alignment.

Candidate can be hybrid from one of our offices or remote in the US.

Responsibilities

  • Assist in the development and implementation of model risk policies and procedures.Enhance these functions.

  • Help to ensure compliance with regulatory requirements and internal risk management standards. and the RELX Responsible AI Principles.

  • Collaborate with cross-functional teams, including data science, product, market planning, technology and legal and compliance.

  • In partnership with cross-functional teams, help to co-design and implement a unified framework that provides clear, actionable guidance for model development, validation, and risk mitigation-embedding these standards naturally into the product lifecycle from initial ideation through to go-to-market delivery.

  • Assist with the quarterly reviews and audits of models to identify and address potential risks.

  • Stay current with industry trends, global regulatory changes, and best practices in model risk management.

Requirements

Preferred Qualifications:

  • Awareness of data science methods and techniques, though not necessarily in expert in their use.

  • Knowledge of regulatory requirements and industry standards, especially FCRA, ECOA, GLB, EU-AI Act, GDPR. Ability to scale up to support other global regulations

  • Excellent problem-solving, and decision-making skills.

  • Strong communication and interpersonal skills, with the ability to collaborate effectively with internal/external stakeholders including customers and regulators at all levels.

  • While Data Science Expertise isn't required, a basic understanding of statistical modeling in banking and insurance is a plus,.

  • Experience working with data scientists, customers and regulators

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

- In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.

U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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