Top 10 Skills by Importance
| Skill | Importance | Importance bar |
|---|---|---|
| 1 Critical Thinking | 81/100 | |
| 2 Judgment and Decision Making | 81/100 | |
| 3 Mathematics | 81/100 | |
| 4 Reading Comprehension | 81/100 | |
| 5 Active Listening | 75/100 | |
| 6 Complex Problem Solving | 75/100 | |
| 7 Systems Evaluation | 75/100 | |
| 8 Speaking | 72/100 | |
| 9 Systems Analysis | 72/100 | |
| 10 Writing | 63/100 |
How Actuaries Apply Mathematics and Critical Thinking
Actuaries use mathematical reasoning to examine information and support judgments about what it means. Critical thinking helps them question assumptions, check whether evidence supports a conclusion, and recognize when an interpretation needs closer review. Reading comprehension matters because the reasoning depends on accurately understanding the material being assessed. These capabilities work together: mathematics gives actuaries a way to analyze information, while critical thinking and careful reading help them decide how much confidence to place in the result.
On the job, sound actuarial judgment depends on more than carrying out calculations. Actuaries need to interpret results in context and make decisions that reflect the limits and meaning of the information before them. Building skill in these areas means strengthening both quantitative reasoning and the ability to assess written material carefully. As responsibilities call for more consequential judgments, clear reasoning helps actuaries explain how they reached a conclusion and what supports it.
How Actuaries Turn Complex Problems Into Decisions
Actuaries connect a defined problem to the systems and decisions it affects. Systems analysis and evaluation help them examine how parts of a situation relate, while complex problem solving helps organize the issue into a form that can be assessed. This work gives their conclusions context: a finding needs to make sense within the system it concerns.
Communication carries that analysis into action. Active listening helps actuaries understand the questions and concerns behind a request, and speaking and writing let them explain conclusions to others. Judgment and decision making connect the analysis to a choice, so an actuary’s work includes making the reasoning usable for people who must act on it. Clear explanations can help colleagues understand both the conclusion and the problem it addresses.
How Actuaries Combine Data Tools With Analytical Judgment
Actuarial work draws on tools for querying data, building financial analyses, and running analytical software. SQL, Excel, Python, R, and SAS appear among the technologies associated with the career, alongside VBA. Learning to work across these tools can help you move from handling data to carrying out analyses in software suited to the task.
Tools support the work, while judgment helps determine how to use and assess their output. An actuary may use database queries to obtain data, spreadsheets or code to analyze it, and presentation software to communicate results. Developing the ability to check whether an analysis is appropriate for the question can make tool use more effective in day-to-day work. As responsibilities change, continued practice with data and analytical software can help actuaries apply their technical skills to new assignments.
How Actuaries Build Skills Through Applied Analysis
Actuaries develop practical capability by bringing quantitative reasoning, careful reading, and judgment together in applied work. Mathematical knowledge gives analysis a foundation, while critical thinking helps examine how assumptions shape an assessment. Repeatedly using these capabilities in the same work process can help actuaries make their reasoning more consistent and useful.
Applied analysis also gives actuaries a way to strengthen how they evaluate their own conclusions. Systems evaluation and complex problem solving support a disciplined review of whether an analysis addresses the problem at hand. Active listening, speaking, and writing help carry that reasoning into discussions and clear explanations. The development sequence is cumulative: practice with analysis supports sounder evaluation, and communication makes the resulting work usable by others.
Top Tasks
Common tasks reported for this occupation. Ordering reflects typical emphasis in O*NET.
- 1 Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.
- 2 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.
- 3 Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates.
- 4 Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums.
- 5 Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public.
- 6 Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.
- 7 Provide advice to clients on a contract basis, working as a consultant.
- 8 Determine equitable basis for distributing surplus earnings under participating insurance and annuity contracts in mutual companies.
In-Demand Tools
- Structured query language SQL 40% of job postings
- Python 24% of job postings
- Microsoft Excel 21% of job postings
- R 21% of job postings
- SAS 19% of job postings
- Microsoft Visual Basic for Applications VBA 18% of job postings
- Microsoft Office software 15% of job postings
- Tableau 9% of job postings
- Microsoft PowerPoint 9% of job postings
- Microsoft Power BI 6% of job postings
- Microsoft Access 4% of job postings
- Microsoft Visual Basic 1% of job postings
Source: O*NET OnLine, National Center for O*NET Development | Last updated: July 9, 2026
