Actuaries analyze the financial costs of risk and uncertainty, primarily for insurance companies, pension funds, and consulting firms. They build statistical models to forecast future events such as mortality, illness, accidents, and natural disasters, then use these projections to set premiums, reserves, and policy terms. The profession blends advanced mathematics, probability theory, and business acumen, requiring actuaries to communicate complex quantitative findings to executives, regulators, and clients in clear, actionable terms.
| Entry level | $68,000 |
| Median | $120,000 |
| Senior | $180,000 |
| Top 10% | $250,000 |
| Job growth | +22% |
| Professionals in the USA | 0.03 million |
| Typical hours/week | 42 hrs |
| Remote work share | 45% |
| Annual job openings | 2,700/yr |
| Demand | High |
AI and automation are transforming actuarial work by handling data processing, routine calculations, and standard modeling tasks that once consumed significant analyst time. However, actuaries remain essential for regulatory judgment, ethical risk assessment, and communicating complex uncertainty to executives and regulators. The profession is shifting toward higher-value strategic advisory roles as automation absorbs entry-level computational tasks.
Automation exposure: Routine data aggregation, standard actuarial calculations, basic reserve estimates, report generation, and repetitive Excel/spreadsheet modeling are increasingly automated by AI tools and specialized software.
The human edge: Actuaries provide professional judgment on novel or ambiguous risks, navigate regulatory and ethical complexities, communicate uncertainty to non-technical stakeholders, and take professional accountability for certified opinions that AI cannot legally or ethically assume.
Figures are estimates for exploration — verify current data with BLS.gov.