Pricing Analyst – Data-Driven Insurance Pricing (Hybrid)

IAG; Melbourne; On-site; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Boosted superannuation 13%

20 days annual leave + 5 MyLeave

Work from home and flexibility

Up to 50% off personal insurance

Job summary

IAG is seeking a Pricing Analyst to analyse trends, build pricing models, and support strategies that deliver value for customers and the business. The role is a 12-month max-term, full-time position based in Naarm (Melbourne) or Gadigal Country (Darling Park, Sydney).

You will work with cross-functional teams in Pricing, Portfolio, Product and Data, using Python, R and SQL to turn insights into actionable pricing decisions. 2+ years in general insurance pricing is preferred.

Qualifications

• Background in actuary/mathematics/ statistics or data science
• 2+ years' experience in general insurance pricing or similar quantitative environment
• Experience with Python, R, SQL, SAS or VBA
• Ability to turn data insights into business actions
• Strong communication and stakeholder management skills

Responsibilities

• Analyze pricing and portfolio data to identify trends and opportunities
• Support development and enhancement of pricing models across insurance products
• Contribute to commercial pricing strategies and monitor pricing performance
• Collaborate with Pricing, Portfolio, Product, Data and Reserving teams to deliver insights
• Use Python, R and SQL to solve complex business problems
• Present data-driven insights to technical and non-technical audiences
• Support pricing governance and continuous improvement initiatives

Skills

Strong analytical and problem-solving

Strong communication skills

Ability to explain technical concepts

Education

Actuarial Studies, Mathematics, Statistics, Data Science, Computer Science or quantitative field

Tools

Python

R

SQL

SAS

VBA

Job description

IAG is seeking a Pricing Analyst to analyse trends, build pricing models, and support strategies that deliver value for customers and the business. The role is a 12-month max-term, full-time position based in Naarm (Melbourne) or Gadigal Country (Darling Park, Sydney).

You will work with cross-functional teams in Pricing, Portfolio, Product and Data, using Python, R and SQL to turn insights into actionable pricing decisions. 2+ years in general insurance pricing is preferred.