2231 Actuaries, Mathematicians and Statisticians
2231 Actuaries, Mathematicians and Statisticians
Analyse, develop and apply actuarial, mathematical, statistical, financial and quantitative principles and techniques to solve problems and design experiments and surveys in a range of fields such as business and finance, health, engineering, government, scientific and social research, and technology.
Econometricians are excluded from this unit group. Econometricians are included in Occupation 232333 Economist.
OSCA skill level
The occupations in this unit group have a skill level corresponding to the qualifications and experience below.
- Skill Level 1: Bachelor Degree, higher qualification, or at least five years of relevant experience
223131 Actuary
Analyses mathematical, statistical, demographic, financial or economic data to predict and assess long-term risks and potential impacts of future events.
Registration or licensing is required.
Skill level: 1
Main tasks
- Applies and examines complex models to forecast future events that may have financial, social or environmental impacts
- Analyses data to identify opportunities to improve outcomes for companies, government, society and other organisations
- Formulates and proposes strategies to mitigate risks and uncertainties
- Designs policies, assesses risk and analyses investments primarily in life insurance, superannuation, health insurance, friendly societies and financial markets
- Ensures compliance with applicable laws, regulations and an ethical code of conduct
223132 Mathematician
Develops and applies mathematical principles and techniques to solve problems in all areas of the sciences, engineering, technology, social sciences, business, industry and commerce.
Specialisation
- Quantitative Analyst
Skill level: 1
Main tasks
- Conducts research to extend mathematical knowledge in areas such as algebra, geometry, probability and logic
- Applies mathematical theories and techniques to the solution of practical problems in business and management
- Develops mathematical or statistical models of trends to be used for analysis or for software simulation
- Performs computations and applies methods of numerical analysis to data
- Addresses the relationships of quantities, magnitudes and forms using numbers and symbols
223133 Statistician
Applies statistical principles to design experiments, surveys and other quantitative studies. Uses statistical techniques to collect, organise, analyse and interpret data. Uses and develops statistical methods to solve problems in all areas of the sciences, engineering, health, technology, social sciences, business, government, industry and commerce.
Specialisations
- Biostatistician
- Demographer
- Epidemiologist
- Statistical Analyst
Skill level: 1
Main tasks
- Evaluates, processes, analyses and interprets data
- Produces relevant statistics to describe and infer trends and patterns
- Applies models to experimental observations, and adjusts and recasts the models
- Evaluates and describes the reliability and utility of source information
- Liaises with management and clients to determine the area to be surveyed or examined
- Plans and organises surveys and other statistical collections, and designs questionnaires
- Reports significant differences in relationships among sources of data
- Uses numerical analysis methods to develop algorithms and perform computations