Quant jobs / Hollard Insurance

Pricing Analyst

Hollard’s pricing analyst develops statistical models for general insurance. The role analyses risk data and tests pricing changes across product portfolios.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Prepare pricing datasets.
Build GLM and boosting models.
Test portfolio effects of pricing changes.

What they ask for

Required

Statistical analysis
Excel
SQL, Python or R
Communication

Preferred

Australian insurance knowledge

Education: Relevant bachelor’s degree required.
Experience: No minimum years stated.
Languages and tools: Excel
SQL
Python
R

How to prepare

Fit and validate an insurance GLM.
Compare boosting with simpler models.
Estimate portfolio impacts of price changes.

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Hollard Insurance’s site before applying: requirements, location and pay can change after we check them.

View the posting on Hollard Insurance’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Hollard Insurance and doesn’t handle applications.