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Insurance Statistician Jobs in Virginia (NOW HIRING)

Insurance Representative

Manassas, VA · On-site

$61K - $77K/yr

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

Insurance Agent

Hanover, VA · On-site

$75K - $105K/yr

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

About the Insurance Broker position We are looking for a skilled Insurance Broker to join our team ... Good knowledge of computers and statistics methods * Strong communication, presentation and sales ...

Reviewing economic and statistical trends and making selections as necessary * Modeling the likelihood of certain catastrophic events * Projecting future losses from current insurance policies

$100K - $130K/yr

ABOUT THE ROLE A well-established Property & Casualty insurance organization is seeking a Senior ... Bachelor's degree preferred in Mathematics, Statistics, Finance, Business Analytics, Actuarial ...

Reviewing economic and statistical trends and making selections as necessary * Modeling the likelihood of certain catastrophic events * Projecting future losses from current insurance policies

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Showing results 1-20

Insurance Statistician information

See Virginia salary details

$50.1K

$86.2K

$115.5K

How much do insurance statistician jobs pay per year?

As of May 28, 2026, the average yearly pay for insurance statistician in Virginia is $86,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $97,700.00 per year, depending on experience, location, and employer.

What is an Insurance Statistician job?

An Insurance Statistician analyzes data related to insurance claims, policies, and risk factors to help insurers make informed decisions. They use statistical models and actuarial techniques to assess trends, calculate probabilities, and estimate future risks. Their insights support underwriting, pricing strategies, and risk management. They often work with large datasets, programming languages, and statistical software. This role helps insurance companies remain profitable while offering fair policy rates.

What are the key skills and qualifications needed to thrive in the Insurance Statistician position, and why are they important?

To thrive as an Insurance Statistician, you need a strong background in statistics, mathematics, and actuarial science, typically supported by a relevant bachelor’s or master’s degree. Proficiency with statistical analysis software such as SAS, R, or Python, as well as familiarity with insurance-focused modeling systems, is vital, and professional certifications like ASA or CSPA can be advantageous. Strong analytical thinking, attention to detail, and clear communication skills help distinguish top performers in this field. These qualifications enable Insurance Statisticians to effectively interpret complex data, support business decisions, and comply with industry regulations.

What are the most common challenges faced by Insurance Statisticians in their day-to-day work?

Insurance Statisticians often face challenges such as working with large and sometimes incomplete datasets, ensuring the accuracy of complex risk models, and keeping up with regulatory changes that affect data reporting. They must work closely with underwriters, actuaries, and other departments to interpret data findings and translate them into actionable business strategies. Continuous learning and adaptability are essential, as industry practices and statistical techniques evolve rapidly. Despite these challenges, the role offers the satisfaction of directly impacting an organization's financial stability and customer offerings.
What are the most commonly searched types of Insurance Statistician jobs in Virginia? The most popular types of Insurance Statistician jobs in Virginia are:
What are popular job titles related to Insurance Statistician jobs in Virginia? For Insurance Statistician jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Insurance Statistician jobs in Virginia look for? The top searched job categories for Insurance Statistician jobs in Virginia are:
Expert Statistician/Mathematician (QAF Accreditation) - OBIQUA

Expert Statistician/Mathematician (QAF Accreditation) - OBIQUA

CELESTAR

Reston, VA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago


Job description

Celestar Corporation is seeking an Expert Statistician/Mathematician (QAF Accreditation) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: TBD
ANTICIPATED START: TBD
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
• The Expert Statistician/Mathematician, Quality Assurance Framework (QAF),
• Develops and applies fundamental mathematics, mathematical or statistical theory to collect, organize, interpret and summarize numerical data to generate usable information to solve a wide range of intelligence problems.
• Applies mathematical theories and statistical methods to solve practical problems.
• Develops mathematical or statistical models of phenomena for analysis or computational simulation.
• Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data to structure analyses.
• Plans and performs data collection for projects, determining types/sizes of sample groups and prepares data for processing by organizing information and checking for inaccuracies.
• Processes large amounts of data for statistical modeling and graphic analysis (metrics).
• Develops computer code to automate the collecting and processing of data.
• Produces results of analyses in graphs, charts, tables, and metrics. Prepares products to describe and document findings and activities.
• Review and evaluate QAF documentation submitted by advanced analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
• Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developer.
• Assist in maintaining QAF repository of documentation to facilitate knowledge sharing and best practices across the organization.
• Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for AI system development, testing, and deployment.
• Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation.
• Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process.
• Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
• Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
• Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
• Develop and apply statistical models and methods to evaluate AI system performance, robustness, and fairness in all source analysis contexts.
• Collaborate with the Computer Scientist to develop and implement testing methodologies for AI system validation and evaluation.
• Analyze and interpret results of statistical models and methods to inform AI system development and improvement.
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Required qualifications/skills:
• Minimum 20 years of experience conducting analysis relevant to the
specific labor category with at least a portion of the experience within the last 2 years.
• Master's degree in an area related to the labor category from a college
or university accredited by an agency recognized by the U.S. Department of Education.
• Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
• Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
• Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.