SynopsisAbout the RoleAn exciting opportunity has arisen for actuarial analysts with strong modelling skills to join the Australian Government Actuary (AGA) at the APS Level 4.This role is an important part of a collaborative and supportive team that provides critical actuarial leadership to ensure the sound development and application of actuarial models across a wide range of government programs.You will apply your actuarial and statistical skills to provide insights to government programs and inform policy advice that can improve outcomes for the Australian population.You will be a key member of a team that supports the design, development and application of actuarial analysis and advice to government across a diverse range of programs. The AGA develops and maintains a wide range of actuarial models, from traditional actuarial models to microsimulation models informed by machine learning and analysis. Opportunities exist within the AGA to work with our senior actuaries and analysts, supporting the development of innovative solutions requiring highly complex data analytics.This position will be based in Canberra; however, applications will be considered for Melbourne and Sydney.Desirable Qualifications / ExperienceIt is highly desirable for candidates to have either an actuarial or statistical major with demonstrated progress through the actuarial exams or a capacity to do so. Experience working with GLMs, machine learning, microsimulation modelling or a closely related field is desirable. It is also desirable for candidates to possess:SAS and/or R skills;Strong conceptual, analytical and data visualisation skills;Client service skills;A capacity to contribute to broader strategies and initiatives within the AGA;Strong communication and interpersonal skills.Support is provided where the successful applicant demonstrates a commitment to undertake further actuarial studies towards the attainment of a Fellow of the Institute of Actuaries of Australia qualification.For further information regarding this vacancy, please refer to the Position Description.
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