Our Client is seeking to appoint a number of Senior Actuarial Analysts to join the Federal Agency on an initial 12-month contract engagement with extension options based on performance.
One role is a Team Lead and the other is a Senior Actuarial Analyst Lead.
The division provides operational data, insights and analytics to all operational teams. You will be driving service delivery performance and producing annual financial sustainability reports and quarterly actuarial reports. This will include information and advice to Snr Managers and the board.
The role is responsible for actively managing key internal and external stakeholder relationships and may be required to represent and negotiate on behalf of the agency to advance the agency's interests across a range of forums.
Scope of the role:
Providing statistical and actuarial advice.
Oversight and management of reporting, analysis and data management activities as required, including regular performance monitoring.
Designing actuarial, statistical and mathematical models to undertake analytical work that respond to business issues, including actuarial monitoring and analyses, data tabulations, scheme projects and cost benefit analyses.
Undertaking ad hoc modelling requests and report production.
Effectively communicating (verbally and in writing) and presenting the outcomes of work undertaken, tailored to context.
Selection Criteria:
Full Australian work rights essential
Leadership experience in either managing projects or leading small teams with direct reports
Proficiency in R or Python, with a preference towards R, including: - Clean/transform/summarise large data sets (e.g. data. table, dplyr) - Functional programming practices - Train/evaluate/infer machine learning models (e.g. xgboost)
Proficiency in SQL
Some experience with version control systems, i.e. git
Experience building statistical or machine learning models
Experience with agile, Package development in R (devtools, roxygen2) and Dashboard development in R (shiny) would be an added bonus
Relevant qualifications in Actuarial studies, Mathematics, Statistics, Engineering, Science or Quantitative Finance