Actuarial Graduate: Modelling, Risk & Insight

Dlssgeelong; Australia; Remote; AUD 60,000 - 80,000; Full time

Benefits offered by this job

Coaching & feedback

Professional skills development

Wellbeing & diversity

Employee discounts

Clubs & networks

Job summary

KPMG Australia’s Graduate Program offers real client work from day one in areas spanning insurance, government, health, banking and infrastructure. The program features a one‑year grow pathway with coaching and development, starting in February 2027 as a full‑time, ongoing graduate role.

Graduates gain experience across the entire modelling lifecycle, from problem framing and data preparation to analysis, interpretation and presenting recommendations to clients.

Qualifications

• This pathway is a great fit for graduates who enjoy quantitative analysis, problem‑solving, structured thinking and using data to understand real‑world challenges.

Responsibilities

• Building and validating actuarial or statistical models
• Modelling future scenarios to estimate the likelihood and impact of events
• Supporting valuations, capital modelling or pricing exercises
• Analysing large datasets to uncover trends, patterns or emerging risks
• Assisting with regulatory, compliance or reporting requirements
• Contributing to consulting projects across insurance, financial services, government or energy
• Working across sectors such as insurance, government, health, banking and infrastructure helps you develop broad and adaptable analytical capability.

Skills

Quantitative analysis

Problem-solving

Structured thinking

Data analysis

Education

Actuarial Studies

Mathematics

Statistics

Data Science

Economics

Finance

STEM degrees

Job description

KPMG Australia’s Graduate Program offers real client work from day one in areas spanning insurance, government, health, banking and infrastructure. The program features a one‑year grow pathway with coaching and development, starting in February 2027 as a full‑time, ongoing graduate role.

Graduates gain experience across the entire modelling lifecycle, from problem framing and data preparation to analysis, interpretation and presenting recommendations to clients.