Actuaries
Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. May ascertain insurance rates required and cash reserves necessary to ensure payment of future benefits.
What education do people in this job actually have?
O*NET incumbent survey (2024)How EWU courses prepare you for this work (3 of 15 O*NET tasks have course evidence)
Calculate the probabilities and expected values associated to functions of multiple variables
State the chain rule in terms of rate of change
Recent regional postings for this occupation
View all 349 postings from the last year →5 most recent CareerOneStop listings for this occupation. "Live" in Quick Facts counts only postings the scraper re-confirmed in the last 7 days; older real postings still appear here until they age out.
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Associate Actuary2026-06-03Humana · Olympia, WA5 requirements 15 nice-to-haveAssociate of Society of Actuaries (ASA) designation or Fellow of the Society of Actuaries (FSA) designation
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Associate Actuary, Analytics and Forecasting2026-06-02Humana · Olympia, WA5 requirements 16 nice-to-haveAssociate of Society of Actuaries (ASA) designation or Fellow of the Society of Actuaries (FSA) designation
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Life Actuary Consulting Senior Manager2026-06-03Deloitte · Seattle, WA5 requirements 8 nice-to-have10+ years of Life actuarial experience
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Associate Actuary2026-06-03Humana · Helena, MT5 requirements 15 nice-to-haveAssociate of Society of Actuaries (ASA) designation or Fellow of the Society of Actuaries (FSA) designation
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Associate Actuary2026-06-03Humana · Salem, OR5 requirements 15 nice-to-haveAssociate of Society of Actuaries (ASA) designation or Fellow of the Society of Actuaries (FSA) designation
Where to focus your applied learning (12 taskes without course evidence yet)
These O*NET tasks don't have direct course-objective evidence in the Math BS catalog yet. Each is an opportunity to gain hands-on preparation through an applied project, MAA-sponsored partnership, elective, or internship. The Math BS applied-projects page has examples of project-driven learning that could close these kinds of gaps.
- Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits. (importance 4.5/5)
- Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help companies develop plans for new lines of business or improvements to existing business. (importance 4.5/5)
- Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums. (importance 4.4/5)
- Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public. (importance 4.3/5)
- Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information. (importance 4.2/5)
- Provide advice to clients on a contract basis, working as a consultant. (importance 3.8/5)
- Negotiate terms and conditions of reinsurance with other companies. (importance 3.3/5)
- Determine equitable basis for distributing surplus earnings under participating insurance and annuity contracts in mutual companies. (importance 3.3/5)
- Provide expertise to help financial institutions manage risks and maximize returns associated with investment products or credit offerings. (importance 3.1/5)
- Testify before public agencies on proposed legislation affecting businesses. (importance 3.0/5)
- Testify in court as expert witness or to provide legal evidence on matters such as the value of potential lifetime earnings of a person disabled or killed in an accident. (importance 2.7/5)
- Manage credit and help price corporate security offerings. (importance 2.4/5)
More O*NET details for this occupation (skills, knowledge, tools & technology)
O*NET's tools-and-technology list aggregates software encountered across the occupation's many sub-roles, so the list can be broad. Treat it as a directory of what people in this job might use, not a checklist of what every job requires.
Where this data comes from. Occupation descriptions, tasks, skills, and education-incumbents survey come from the U.S. Department of Labor's O*NET 30.2. Washington-state pay and employment projections come from WA Employment Security Department and the BLS Occupational Employment and Wage Statistics. Live job postings come from CareerOneStop, refreshed nightly from a scrape that tracks the original posting date and the date our system last saw each posting live.
How we connect courses to occupations. Course catalog descriptions and program-level learning outcomes are indexed alongside O*NET task statements. Where a course's language aligns with a task an occupation requires, we mark it as evidence of preparation. Faculty review each candidate match and either confirm or veto it; only confirmed matches surface in totals.