
Actuarial Consultant – Brisbane
- Brisbane, QLD
- Permanent
- Full-time
OverviewGallagher is a global leader in Insurance broking, risk management and consulting, with over 53,000 employees worldwide in over 130 countries. We have a global reach with a local presence and pride ourselves on being a socially responsible and an ethical organisation expressed through our Shared Values, The Gallagher Way. We are proud to have been awarded one of Insurance Business Australia Top Insurance Employers and Forbes Best Employer for Women.Join Our Team as an Actuarial ConsultantWe are seeking an experienced Actuarial Consultant to join our fast-growing Analytics & Consulting team in Brisbane. In this role, you will partner with clients to transform actuarial modelling and risk analytics into actionable strategies that improve performance and manage risk.Key Responsibilities:
- Apply actuarial modelling to areas such as claims forecasting, risk assessment, insurance program optimisation, and climate risk strategy
- Build and interpret stochastic models, including Monte Carlo simulations, to quantify uncertainty and guide client decisions
- Develop and deploy predictive models such as Generalised Linear Models (GLMs) and deep neural networks to uncover trends and improve forecasts
- Support business development by identifying consulting opportunities and strengthening client relationships
- Conduct data analysis and statistical modelling using Python, R, and SQL
- Prepare clear, compelling reports, proposals and presentations
- Collaborate with brokers, engineers, and domain experts to align technical outcomes with commercial goals
- Enhance internal methodologies and frameworks
- A minimum of 3 years of experience in relevant fields
- Proficiency in Python or R and expertise in SQL
- Demonstrated experience in simulation and statistical modelling
- Degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field
- Strong communication skills
- FIAA / AIAA (or equivalent)
- Knowledge of geospatial analytics