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Model Risk Jobs in Georgia (NOW HIRING)

Risk Management Actuary

Alpharetta, GA · On-site

$150 - $200/hr

The Risk Management Actuary ("RMA") plays a key role in supporting IFG Companies' enterprise risk ... Collaborating with Pricing, Reserving and Modeling Actuaries to ensure consistency of data ...

... security, model risk and regulatory compliance. Qualifications • 10+ years of experience in IT/program management, including experience leading large transformation programs. • Strong ...

New

Risk Management Actuary

Alpharetta, GA · On-site

$150K - $200K/yr

Draft POSITION SUMMARY The Risk Management Actuary ("RMA") plays a key role in supporting IFG ... Collaborating with Pricing, Reserving and Modeling Actuaries to ensure consistency of data ...

... model risk and regulatory compliance. • Manage AI pilots/POCs and facilitate their transition into scalable production solutions. • Track program KPIs including business value, productivity ...

New

... models (LLMs). * 2+years of experience applying cybersecurity and technology risk concepts, including the National Institute of Standards and Technology (NIST) Cybersecurity Framework, NIST AI Risk ...

... models (LLMs). * 2+years of experience applying cybersecurity and technology risk concepts, including the National Institute of Standards and Technology (NIST) Cybersecurity Framework, NIST AI Risk ...

Knowledge of financial services business models, products, and services * Experience in banking ... Credit Risk: Underwriting and portfolio credit risk across products (e.g., PD/LGD/EAD modeling ...

Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing ... Knowledge of financial services business models, products, and services * Experience in banking ...

Partner with security, compliance, legal, and model risk management to make sure every agent we ship meets company standards for data handling, auditability, access control, and responsible AI use

Develop cash flow and unit economics models to estimate credit and financial performance. * Work ... risk analytics in consumer lending. * Excellent communication (verbal and written) with the ability ...

Establish governance for Responsible AI, data privacy, security, model risk and regulatory compliance. * Manage AI pilots/POCs and facilitate their transition into scalable production solutions.

Oversee daily market risk limit and exception reporting while ensuring the appropriate levels of ... Demonstrated understanding of quantitative models, complex applications, theories and concepts such ...

Oversee daily market risk limit and exception reporting while ensuring the appropriate levels of ... Demonstrated understanding of quantitative models, complex applications, theories and concepts such ...

Showing results 41-60

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 the most commonly searched types of Model Risk jobs in Georgia?

The most popular types of Model Risk jobs in Georgia are:

Infographic showing various Model Risk job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 13% Part Time, 7% Contract, and 3% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Lead Actuarial Risk Modeler, Cyber

Tokio Marine HCC

Duluth, GA • On-site

Full-time

Re-posted 19 days ago


Tokio Marine HCC rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 311 rated insurance


Job description

Overview:
As Lead Actuarial Risk Modeler, you will utilize your actuarial and risk modeling skills with specialized expertise in cyber to support Tokio Marine Holdings model development, validation, and analytics. This position will be located in Metro Atlanta area (Duluth, GA) joining a bright team of experts in risk modeling, analytics, research, and development.
Performance Objectives:
  • Cyber and Cat Analytics: Expert user of vendor cyber models and applied analytics supporting various functions in risk management and underwriting.
  • Research and Catastrophe Model Evaluations: Develop benchmarks and validate model components and results presenting conclusions and recommendations to stakeholders. Actively research in the field of cyber and (man-made) accumulation risks.
  • Cyber and Cat Model Development: Apply specialized actuarial and cyber expertise to develop risk models for cyber and other perils - (man-made) accumulation risks and natural catastrophe.
  • Training and Collaboration: As an expert in the field, proactively share expertise and research on various research and relevant topics via training and collaboration with the broader Tokio Marine Group.

Requirements:
  • Bachelor's degree in Actuarial Science, Data Science, Statistics or similar field; advanced degree or actuarial certifications (ACAS/FCAS) preferred.
  • A minimum of 5 years of relevant and progressive professional experience in cyber risk modeling, actuarial, or catastrophe modeling and analytics with proven track record in developing and validating risk models in P&C (re)insurance industry.
  • Expert user of vendor cyber models with thorough understanding of related frameworks
  • Deep knowledge of statistics, simulation, & stochastic modeling techniques
  • Proficient programming skills in Python, R, or similar preferred
  • Well versed with man-made accumulation risks state of knowledge
  • Experience applying actuarial expertise in catastrophe modeling and risk analytics
  • Flexibility and a willingness to learn
  • Sound analytical skills, as well as strong decision-making and problem-solving aptitude
  • Exceptional communication and presentation skills with ability to establish networks
  • Experience with project management a plus

What Tokio Marine HCC employees say

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