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Actuarial Statistician Jobs (NOW HIRING)

Msig USA

The Manager, Statistical Reporting & Insurance Analytics is responsible for leading a team of data and statistical reporting professionals in the delivery of actuarial, regulatory, operational, and ...

Horizon Blue Cross Blue Shield

Apply actuarial principles, statistical methods, and mathematical modeling techniques to evaluate risk and support sound business decisions.**What You Bring****Required Qualifications*** Bachelor ...

MSIG Holdings USA, Inc.

Actuarial Analyst

New York, NY · On-site

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field. * 3+ years of actuarial or related analytical experience preferred. * Progress toward actuarial ...

MSIG Holdings USA, Inc.

Actuarial Analyst

New York, NY · Hybrid

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field. * 3+ years of actuarial or related analytical experience preferred. * Progress toward actuarial ...

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$50.5K

$86.9K

$116.5K

How much do actuarial statistician jobs pay per year?

As of Sep 11, 2026, the average yearly pay for actuarial statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an actuarial statistician?

Actuarial statisticians are professionals who apply mathematical and statistical methods to assess risk in insurance, finance, and other industries. They analyze data to estimate the probability and financial cost of events such as accidents, illnesses, or natural disasters. Their work helps organizations make informed decisions about pricing, policy design, and risk management. Actuarial statisticians often use specialized software and models to forecast future events and ensure financial stability.

What are the key skills and qualifications needed to thrive as an actuarial statistician?

To excel as an Actuarial Statistician, you need strong mathematical, statistical, and analytical skills, typically supported by a degree in mathematics, statistics, or actuarial science, along with progress toward or completion of actuarial certifications. Proficiency with statistical software such as R, SAS, or Python, as well as spreadsheet tools and actuarial modeling systems, is essential. Excellent problem-solving, attention to detail, and effective communication skills help you interpret complex data and convey findings to non-technical stakeholders. These abilities are crucial for accurately assessing risk, supporting business decisions, and ensuring regulatory compliance in insurance and finance industries.

How does an actuarial statistician typically collaborate with other departments within an organization?

Actuarial Statisticians often work closely with teams in finance, underwriting, and risk management to ensure accurate data analysis and model development. They collaborate with IT professionals to manage data sets and ensure that the statistical models are implemented effectively. Regular meetings and cross-department projects are common, as Actuarial Statisticians provide insights that inform business decisions, product development, and regulatory compliance. This collaborative environment helps ensure that actuarial findings are integrated into broader organizational strategies.

What is the difference between Actuarial Statistician vs Actuarial Analyst?

AspectActuarial StatisticianActuarial Analyst
CredentialsTypically requires actuarial exams, often with a few exams completedUsually requires fewer exams, often entry-level
Work EnvironmentResearch-focused, data analysis, modeling in insurance or financeData collection, preliminary analysis, supporting actuarial projects
Employer & IndustryInsurance companies, consulting firms, financial institutionsInsurance companies, brokerage firms, consulting agencies

Actuarial Statisticians focus on advanced data analysis and modeling, often with more completed exams, while Actuarial Analysts handle initial data work and support actuarial teams. Both roles are vital in insurance and finance sectors, but the Statistician typically has more specialized responsibilities and credentials.

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Actuarial Statistician jobs near you
Infographic showing various Actuarial Statistician job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 60% Physical, 13% Hybrid, and 27% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Actuarial Analyst

Guaynabo, PR • On-site

Firma de Reclutamiento en PR
See more jobs at Firma de Reclutamiento en PRexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Position Summary
The Actuarial Analyst is responsible for supporting the actuarial evaluation and monitoring of the Company's insurance portfolio by analyzing technical performance, reserves, pricing, profitability, and reinsurance results. This role applies actuarial, statistical, and financial principles to support business decisions, product development, and regulatory reporting.
Key Responsibilities:
  • Calculate and analyze actuarial reserves across multiple insurance products.
  • Monitor loss experience, profitability, and key performance indicators for assigned business lines.
  • Support product development, pricing reviews, and actuarial technical documentation.
  • Perform reinsurance calculations and analyze treaty performance.
  • Assist with profitability projections, financial audits, and statutory reserve certifications.
  • Provide actuarial analysis and data-driven support to cross-functional departments.
  • Participate in special projects and continuous process improvement initiatives.
Qualifications:
  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of two (2) years of actuarial experience within the insurance industry (Life, Disability, Annuities, Property & Casualty), or an equivalent combination of education, experience, and SOA/CAS exam progress.
  • Strong analytical skills with experience handling insurance portfolio data and actuarial modeling.
  • Proficiency in Microsoft Excel and other Microsoft Office applications; experience with RiskAgility FM, ResQ, R, or comparable actuarial software preferred.
  • Progress toward SOA or CAS professional credentials (completion of actuarial exams preferred).
  • Excellent organizational, problem-solving, and multitasking skills with the ability to meet deadlines in a collaborative environment.
  • Fully bilingual (English and Spanish), with strong verbal and written communication and presentation skills.
Equal Employment Opportunity Employer.