Pricing Analyst: Data-Driven Insurance Pricing (Remote)

Hollard Insurance Company; North Sydney; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Flexible working arrangements

Remote work options

Job summary

Hollard Insurance is seeking a Pricing Analyst to support the pricing of general insurance products using data analytics, statistical modelling, and deep product knowledge to drive profit and growth.

You will collect and analyse data, build pricing models including GLMs and ML methods, support pricing systems, implement price changes, and help manage pricing-related customer issues. A bachelor’s degree and strong Excel plus SQL/Python/R experience are preferred.

Qualifications

• Bachelor’s degree in a related field.
• Strong analytical and problem-solving skills with attention to detail.
• Working knowledge of Excel and at least one of SQL, Python, or R.
• Clear communication skills to explain numbers to non-technical colleagues.
• Curiosity and willingness to learn quickly.
• Experience with Australian general insurance is desirable.

Responsibilities

• Collect, clean, and analyse internal and external data to support pricing of general insurance products.
• Build, maintain, and test pricing models, including GLMs and ML methods like GBMs.
• Support pricing systems, processes, and documentation so price changes are implemented accurately and on time.
• Implement price changes and measure their expected impact on the portfolio.
• Help manage pricing-related customer complaints and remediation.
• Contribute to risk control management and reporting for the pricing team.

Skills

Analytical thinking

Problem solving

Data analysis

Education

Bachelor’s degree in actuarial science, Mathematics, Statistics, Economics, Finance, Data Science, or related field

Tools

Excel

SQL

Python

R

Job description

Hollard Insurance is seeking a Pricing Analyst to support the pricing of general insurance products using data analytics, statistical modelling, and deep product knowledge to drive profit and growth.

You will collect and analyse data, build pricing models including GLMs and ML methods, support pricing systems, implement price changes, and help manage pricing-related customer issues. A bachelor’s degree and strong Excel plus SQL/Python/R experience are preferred.