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Actuarial Scientist Jobs in Georgia (NOW HIRING)

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 ...

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 ...

BA/BS in statistics, mathematics, actuarial science or related area and 7+ years of post-bachelor experience performing statistical and actuarial analysis * Or Graduate degree in statistics ...

Manager, Actuarial Analytics

Atlanta, GA · Remote

$114K - $194K/yr

Bachelor's degree in Actuarial Science, Statistics, Mathematics, or related field. * Associate of the Society of Actuaries (ASA) required; FSA preferred. * 5+ years of experience in healthcare ...

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale? About the ...

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale? About the ...

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale? About the ...

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale? About the ...

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Showing results 1-20

Actuarial Scientist information

See Georgia salary details

$43.1K

$96K

$133.4K

How much do actuarial scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for actuarial scientist in Georgia is $95,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $107,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Actuarial Scientist, and why are they important?

To thrive as an Actuarial Scientist, you need strong mathematical and statistical skills, analytical thinking, and typically a bachelor's degree in actuarial science, mathematics, or a related field, along with progress toward professional actuarial certifications (such as SOA or CAS exams). Familiarity with statistical analysis software, spreadsheets, and actuarial modeling tools is essential. Exceptional problem-solving, communication, and attention to detail are standout soft skills for this role. These skills and qualifications enable actuaries to accurately assess risk, inform business decisions, and ensure financial stability for organizations.

How do Actuarial Scientists typically collaborate with other departments within an organization?

Actuarial Scientists frequently work closely with departments such as finance, underwriting, IT, and product development to assess risk and develop strategies. Collaboration often involves sharing and interpreting complex data, contributing to cross-functional teams, and supporting decision-making processes with quantitative analysis. Regular meetings and joint projects are common, allowing Actuarial Scientists to provide insights that guide pricing, risk management, and business planning. This collaborative environment fosters broader business understanding and can open pathways to leadership or specialized roles within the organization.

What are actuarial scientists?

Actuarial scientists, also known as actuaries, are professionals who use mathematics, statistics, and financial theory to assess risk and uncertainty in various industries, most commonly in insurance, pensions, and finance. They analyze data to estimate the likelihood of future events and help organizations develop policies that minimize the cost of risk. Actuaries play a crucial role in designing insurance policies, pension plans, and other financial strategies by predicting financial outcomes and ensuring long-term stability.

What is the difference between Actuarial Scientist vs Actuary?

AspectActuarial ScientistActuary
CredentialsTypically requires a bachelor's degree in mathematics, statistics, or related field; professional actuarial exams are often pursuedRequires passing multiple professional actuarial exams and obtaining certification (e.g., ASA, FSA)
Work EnvironmentResearch-focused, data analysis, model development in insurance, finance, or consulting firmsRisk assessment, pricing, and reserving in insurance companies, consulting firms, or government agencies
Industry UsageCommonly used in insurance, finance, and risk management sectorsPrimarily in insurance, pension plans, and risk management industries

While both roles involve statistical analysis and risk modeling, Actuarial Scientists often focus on research and model development, whereas Actuaries apply these models to assess risk, set premiums, and ensure financial stability in insurance and related industries.

What cities in Georgia are hiring for Actuarial Scientist jobs? Cities in Georgia with the most Actuarial Scientist job openings:
Infographic showing various Actuarial Scientist job openings in Georgia as of May 2026, with employment types broken down into 3% As Needed, 91% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 57% Physical, 11% Hybrid, and 32% Remote job distribution, with an average salary of $95,988 per year, or $46.1 per hour.
Lead Actuarial Risk Modeler, Cyber

Lead Actuarial Risk Modeler, Cyber

Tokio Marine HCC

Duluth, GA • On-site

Full-time

Posted 24 days ago


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