Join to apply for the Natural Perils & Geospatial Manager role at Auto & General Australia.
Overview
Drive end-to-end natural peril pricing and lead the geospatial strategy with a focus on data, technical excellence, and leadership.
The role leads the pricing of natural peril components for our Home products and oversees the geospatial capability within the broader Pricing function.
Responsibilities
Lead and manage end-to-end pricing processes for natural perils (e.g., flood, bushfire, earthquake, etc.) including data, modelling, review, implementation, and monitoring.
Lead and manage the geospatial capability within Pricing, including managing external data update processes, stakeholder engagement, and exploration of new datasets.
Provide thought leadership and quality advice on natural peril pricing strategy, geospatial strategy, risk assessment, and other pricing-related matters.
Identify opportunities for continuous improvement in the end-to-end pricing process.
Understand and communicate the expected impact of pricing changes to GMs, Directors, and the P &UW Committee.
Consider and evaluate alternative data sources and modelling approaches for pricing and/or geospatial solutions.
Ensure data used for pricing analysis is robust, accurate, and delivered in a timely manner.
Consider and evaluate improvements to pricing and geospatial infrastructure (e.g., new functionality, alternate software platforms).
Provide pivotal analytical support and leadership within the Pricing Team.
Manage and mentor pricing staff.
Prepare and effectively present complex papers for presentation to Directors and/or the Pricing & Underwriting Committee.
Engage/communicate with necessary stakeholders for future pricing changes.
Define requirements and manage complex IT changes for Pricing.
Create test plans, manage and sign-off testing for business-wide IT changes that impact pricing.
Perform other reasonable and relevant activities as requested to meet operational requirements.
Qualifications
10+ years of general insurance industry experience, preferably within a natural peril pricing function.
Proven analytical and problem-solving capability.
Excellent attention to detail.
Clear understanding of statistical modelling techniques and knowledge of machine learning modelling approaches.
Familiarity with data and statistical software packages (e.g., Earnix, Radar / Emblem, Python, SQL) is advantageous.
Degree qualified in mathematics, statistics, actuarial studies, or a related field.
Benefits
Auto & General offers a range of benefits including bonuses, a rewards platform, exclusive discounts, work-flexibility options, learning and professional development opportunities, volunteering support, wellbeing resources, and access to annual celebrations.
Auto & General values individual differences and fosters an inclusive culture, making it an excellent place to work.
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