The prospect
Our client is a community focused federal government agency. They have an exciting prospect available for an EL1 level Lead Actuary to join their Analytics, Data & Actuarial Division.
Richmond or Geelong location plus hybrid work-from-home
12 month initial contract + 12 month extension, rates fully negotiable
Role only open to Australian Citizens - Federal government client
The role
As an EL1 Lead Actuary, your responsibilities will include:
Providing statistical and actuarial advice
Providing 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
Presenting the outcomes of work undertaken, tailored to context via verbal and written communication
About you
To be successful in this role you will have:
Extensive experience as an Actuary, including leadership
Solid proficiency in R or Python, with preference towards R, including clean/transform/summarise large data set (e.g. data table, dplyr)
Functional programming practices - train/evaluate/infer machine/learning model e.g. xgboost
Proficiency in SQL
Experience building statistical or machine learning models
Relevant academic qualifications including tertiary qualifications in Actuarial Studies or Mathematics/Statistics, progressing towards Associate and/or Fellowship qualifications
Experience with agile
Experience with version control systems i.e. git
Experience with package development in R (Devtools, roxygen2), and dashboard development in R (shiny)
Excellent communication skills and stakeholder engagement, ideally proven in larger corporate, government or insurance organisations
Please note that as our client is a federal government organisation, you must be an Australian Citizen to be eligible for this role.
APPLY: Submit your resume, or for further information please contact
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