Actuary
SOC 15-2011.00 · ESCO 2120 · OSCA 223131
Role snapshot
Overview
Uses statistical models and probability theory to quantify financial risk for insurance companies, pension funds, and investment firms. Analyses large datasets to forecast future events and advises leadership on pricing, reserve strategies, and product development. This role requires rigorous analytical skills and the ability to communicate complex financial concepts clearly.
Ensures the financial stability of insurance and pension systems, protects consumers, and informs critical business decisions that manage long-term risk and profitability.
On the job
- Develop and maintain complex mathematical models to assess risk and calculate premiums
- Analyze large datasets to identify trends, forecast future events, and evaluate financial implications
- Prepare detailed reports and presentations for management, regulators, and clients
- Design and price new insurance products or pension plans
- Ensure compliance with regulatory requirements and industry standards
Tools & technology
Average salary
Job outlook
GrowingJob growth is expected to be above average over the next five years.
Education & training
Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field. Extensive professional examinations and certifications are required.
AI impact outlook
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detail
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detailWhy this role received this rating
Core task exposure
high
How much of the role’s important work could AI perform?
AI can assist with running complex models and analyzing large datasets to identify trends and forecasts, but developing novel models and setting critical assumptions remains with the actuary.
End-to-end automation
low
Can AI complete the work without substantial human involvement?
While model execution and report drafting can be automated, the professional judgment required for product pricing, reserve setting, and regulatory sign-off prevents full end-to-end automation.
Adoption pressure
high
How likely are employers to introduce AI into this work?
Financial institutions are eager to leverage AI for efficiency in risk assessment and data analysis, making adoption likely for augmenting actuarial tasks.
Human dependence
strong
How much does success depend on human judgement, relationships and accountability?
Success in this role heavily depends on an actuary's nuanced judgment in choosing assumptions, strategic advice to leadership, and personal accountability for statutory opinions and complex financial decisions.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
Actuaries consistently adapt to new financial products, regulatory environments, and advanced analytical techniques, making the role highly adaptable to evolving tools.
Shown for context — not part of the score.
What AI may take on
These are the parts of the role most likely to be automated or significantly accelerated.
- Analyze large datasets to identify trends and forecast future events
- Perform routine calculations for premiums and reserves using established models
- Draft detailed reports and presentations based on model outputs
- Maintain and update existing mathematical models with minor adjustments
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Develop novel mathematical models for new or complex financial products
- Exercise ultimate accountability for risk quantification and statutory sign-offs
- Communicate complex financial concepts and advise leadership on strategic decisions
- Choose and defend nuanced assumptions for risk assessment and pricing
- Ensure compliance with evolving regulatory requirements and industry standards
How the role may evolve
From model runner to strategic interpreter. From data processor to accountable advisor.
Actuaries will spend less time on routine data processing and model execution, shifting focus to interpreting complex results, making high-stakes strategic decisions, and exercising professional accountability.
Strengthen your future fit
- Develop expertise in advanced machine learning and AI techniques relevant to risk modeling
- Enhance skills in communicating complex quantitative insights to non-technical stakeholders
- Cultivate strong ethical judgment for data governance and model interpretation
- Focus on strategic advisory and decision-making capabilities rather than execution
- Engage proactively with regulatory changes and their implications for model design
- Assessment horizon
- 3–7 years
- Confidence
- High
- Last reviewed
- August 2026
- Methodology
- v1.0
This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Actuary
Finance & Investment
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · ICE
People who enjoy highly analytical and structured problem-solving, intellectual challenges, and communicating complex findings to influence decisions, often thrive in this role.
Personality characteristics
Conscientious
Highly organised and meticulous in data analysis and model development, ensuring accuracy and reliability in financial forecasts.
Investigative
Driven by intellectual curiosity to unravel complex financial puzzles and apply sophisticated mathematical theories.
Open-minded
Open to exploring new statistical methodologies and improving existing models to enhance predictive accuracy.
Calm Under Pressure
Maintains composure and objectivity when dealing with critical financial risks and tight regulatory deadlines.
Conventional
Thrives in structured environments, adhering strictly to established actuarial principles, regulations, and reporting standards.
Best for
- Individuals who are highly disciplined, detail-oriented, and possess exceptional mathematical abilities.
- Those who enjoy quantifying and managing financial risk in a highly regulated and impactful field.
- Professionals seeking a stable career with clear progression paths and continuous intellectual challenge.
Watch out for
- The path to full qualification (FSA/FCAS) is long and demanding, requiring years of rigorous study and exams.
- Work can be highly detailed and require long periods of focused, independent analysis.
A week in the life
A representative working week for an Actuary — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Frequently asked questions about Actuary roles
What does an Actuary do?
An Actuary uses statistical models and probability theory to quantify financial risk for insurance companies, pension funds, and investment firms. Analyses large datasets to forecast future events and advises leadership on pricing, reserve strategies, and product development. This role requires rigorous analytical skills and the ability to communicate complex financial concepts clearly. Ensures the financial stability of insurance and pension systems, protects consumers, and informs critical business decisions that manage long-term risk and profitability.
How much does an Actuary earn?
An Actuary earns a median of $120,000 per year in the US, typically ranging from $90,000 to $180,000.
What qualifications do you need to become an Actuary?
To become an Actuary, bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field. Extensive professional examinations and certifications are required. Associate of the Society of Actuaries (ASA).
What personality suits an Actuary?
Actuary roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 90/100) and steady under pressure — deadlines and setbacks do not rattle them easily (Emotional Stability 75/100). The traits that matter most in the role are Conscientious, Investigative, Open-minded and Calm Under Pressure. Highly organised and meticulous in data analysis and model development, ensuring accuracy and reliability in financial forecasts. On interests, Actuary maps to an ICE Holland Code profile — people who enjoy highly analytical and structured problem-solving, intellectual challenges, and communicating complex findings to influence decisions, often thrive in this role.
Who does an Actuary role suit?
An Actuary role is usually a strong fit for these reasons. Excellent for individuals with strong analytical and quantitative skills, who enjoy complex problem-solving. The role offers a structured environment where precision, accuracy, and adherence to regulations are highly valued. Opportunity to provide critical financial insights and influence strategic decisions in a stable industry.
What are the downsides of being an Actuary?
Actuary roles come with trade-offs worth weighing up. The path to full qualification (FSA/FCAS) is long and demanding, requiring years of rigorous study and exams. Work can be highly detailed and require long periods of focused, independent analysis.
What is the work environment like for an Actuary?
Work as an Actuary is mostly office-based with hybrid arrangements common, highly structured, with set processes and deadlines, a moderate pace and high exposure to clients or stakeholders. Around 63% of the week is focused deep work.
What skills do you need to be an Actuary?
Core skills for an Actuary include Statistical modeling, Probability theory, Risk assessment, Financial forecasting, Data analysis and Regulatory compliance.
How do you become an Actuary?
Common entry routes into Actuary roles include Actuarial Analyst, Junior Actuary and Risk Analyst Entry Level.
What career progression is there for an Actuary?
From an Actuary role, common next steps include Senior Actuary, Actuarial Manager and Chief Risk Officer; lateral moves include Quantitative Analyst and Data Scientist.
What is the job outlook for Actuary roles?
The outlook for Actuary roles is currently rated growing. Job growth is expected to be above average over the next five years.
Will AI replace Actuary roles?
Traitstack rates automation risk for Actuary roles at 53 out of 100, which is moderate. AI tools will streamline data analysis and model execution, but the actuary's strategic judgment in setting assumptions and providing accountable advice will remain crucial. AI is most likely to take on analyze large datasets to identify trends and forecast future events, perform routine calculations for premiums and reserves using established models and draft detailed reports and presentations based on model outputs. Develop novel mathematical models for new or complex financial products, exercise ultimate accountability for risk quantification and statutory sign-offs and communicate complex financial concepts and advise leadership on strategic decisions stay with people. From model runner to strategic interpreter. From data processor to accountable advisor. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.