Actuary
Impact: Financial stability, Risk mitigation, Policy design
Analyzes the financial costs of risk and uncertainty using mathematics, statistics, and financial theory. Actuaries assess the likelihood of future events, such as illness, injury, or property loss, to help design insurance policies, pension plans, and other financial products.
In their words
As an actuary, my days are filled with complex problem-solving, using mathematical models to predict future financial outcomes. It's a challenging but rewarding career where precision and attention to detail are paramount. The continuous learning through exams can be demanding, but it ensures we stay at the forefront of risk management.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Solo / 40% Team
- Client facing
- Sometimes
- Impact visibility
- High
- Travel
- 0-10% domestic, primarily for client meetings or conferences.
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40-50 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $125,770
- Entry-level
- $65,000 - $85,000
- Senior
- $250,000 - $400,000+
- Growth by 2033
- 22% (much faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High, significant growth from entry to senior, often exceeding 100%.
- Typical student debt
- $30,000 - $60,000
Skills you'll use
Hard skills
- Statistical Analysis Software (e.g.
- R
- Python)
- Financial Modeling
- Probability Theory
- Risk Management
- Data Analysis
- Microsoft Excel (Advanced)
- Actuarial Software (e.g.
- Prophet
- MoSes)
Soft skills
- Analytical Thinking
- Problem Solving
- Communication
- Attention to Detail
- Decision Making
- Critical Thinking
Technical complexity: Very High
Tools you'll work with
Core tools
- Microsoft Excel (software): Data manipulation, financial modeling, reporting
- Prophet (software): Actuarial modeling, valuation, risk management
Common tools
- R (software): Statistical analysis, data visualization
- Python (software): Data analysis, automation, machine learning
- SQL (software): Database querying and management
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- Yes
- Years to mid-career
- 4
- Years to senior
- 8
- Career switching
- Moderate
Where this career leads
How people arrive here
- Data Scientist: Strong analytical and statistical skills are transferable.
- Financial Analyst: Background in financial markets and quantitative analysis is beneficial.
Where you can go from here
- Risk Manager: Actuarial expertise in risk assessment is highly valued.
- Quantitative Analyst: Advanced mathematical and statistical skills are directly applicable.
- Underwriter: Deep understanding of insurance products and risk selection.
Typical progression
- Actuarial Analyst
- Senior Actuarial Analyst
- Associate Actuary
- Fellow Actuary
- Chief Actuary
Future outlook
- Automation probability
- 21% (low risk).
- AI disruption risk
- Moderate
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7.5/10
- Meaning
- 8/10
- Work-life balance
- 7/10
- Prestige
- 8.5/10
- Social perception
- High
Find your community
Professional organisations
- Society of Actuaries (SOA): Professional organization for actuaries in life insurance, health insurance, retirement benefits, and finance.
- Casualty Actuarial Society (CAS): Professional organization for actuaries in property and casualty insurance.
Reddit communities
- r/actuary: Reddit community for actuaries and those interested in the profession.
Online communities
- Actuarial Outpost: Online forum for actuaries and actuarial students to discuss exams, careers, and industry topics.