Hybrid Pricing Architect – Lifestyle Insurance Analytics

Auto & General Insurance; Brisbane; Hybride; AUD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Bonuses and recognition

Rewards gateway employee platform

Work-from-home option (2 days/week)

Volunteer days and extra leave

Learning and development opportunities

Wellbeing and fitness discounts

Résumé du poste

Auto & General Insurance is seeking a Lifestyle Pricing Specialist to support end-to-end pricing for lifestyle insurance products (Motorcycle, Pet, Travel) using advanced data analytics, modelling and implementation. The role involves reporting, analysis and delivering data-driven pricing decisions with a collaborative and curious approach.

The position requires strong data skills, experience with pricing software, and a maths/actuarial degree.

Qualifications

• 7+ years general insurance industry experience.
• Proven analytical and problem-solving capability.
• Excellent attention to detail.
• Programming knowledge (BigQuery, SAS, SQL, R, Python or similar).
• Experience with pricing software (Emblem, Radar, Earnix).
• Degree qualified in mathematics, actuarial studies or similar.

Responsabilités

• Understand data sources, limitations and uses within pricing team.
• Efficiently manipulate very large data sets.
• Validate external data assets and raise any issues with external data vendors.
• Evaluate alternative data sources for risk rating.
• Implement complex rating changes and quantify the expected impact on the portfolio.
• Explain technical work and communicate findings to senior management.

Connaissances

Analytical ability

Problem solving

Attention to detail

Programming knowledge

Pricing software experience

Formation

Mathematics / Actuarial degree

Outils

Emblem

Radar

Earnix

Description du poste

Auto & General Insurance is seeking a Lifestyle Pricing Specialist to support end-to-end pricing for lifestyle insurance products (Motorcycle, Pet, Travel) using advanced data analytics, modelling and implementation. The role involves reporting, analysis and delivering data-driven pricing decisions with a collaborative and curious approach.

The position requires strong data skills, experience with pricing software, and a maths/actuarial degree.