Major Group: 2 - Professionals | Sub-Major Group: 22 - Business, Human Resource and Marketing Professionals | Minor Group: 224 - Information and Organisation Professionals | Unit Group: 2241 - Actuaries, Mathematicians and Statisticians
Description: Designs and applies statistical principles and techniques for collecting, organising and interpreting quantifiable data, and uses statistical methodologies to produce statistical reports and analyses for government, commercial and other purposes.
Skill Level 1 : Occupations at Skill Level 1 have a level of skill commensurate with a bachelor degree or higher qualification. At least five years of relevant experience may substitute for the formal qualification. In some instances relevant experience and/or on-the-job training may be required in addition to the formal qualification.
Specialisation titles are any commonly used titles which refer to a subset of jobs belonging to the occupation designated in the principal title. These jobs involve the performance of specialised tasks rather than the broader range of tasks usually performed in the occupation.
UNIT GROUP 2241: ACTUARIES, MATHEMATICIANS AND STATISTICIANS
Description: Develop and apply actuarial, mathematical, statistical and quantitative principles and techniques to solve problems in a range of fields such as business and finance, scientific and social research, and engineering. Econometricians are excluded from this unit group. Econometricians are included in Unit Group 2243 Economists.
Skill Level: Most occupations in this unit group have a level of skill commensurate with a bachelor degree or higher qualification. In some instances relevant experience and/or on-the-job training may be required in addition to the formal qualification (ANZSCO Skill Level 1).
Registration or licensing may be required.
defining, analysing and solving complex financial and business problems relating to areas such as insurance premiums, annuities, superannuation funds, pensions and dividends
examining financial projections for general insurance companies, finance companies, government and other organisations
designing new types of policies, assessing risks and analysing investments in life insurance, superannuation funds, health insurance, friendly societies, financial markets and other areas
formulating mathematical models to simulate processes
applying models to experimental observations, and adjusting and recasting the models
using numerical analysis methods to develop algorithms and perform computations
liaising with management and clients to determine the subject or area to be surveyed or examined
specifying the data to be collected, and the methodology to be used in collection and analysis
evaluating and describing the reliability and utility of source information
analysing and interpreting data, and producing relevant statistics to describe and infer particular trends and patterns