This ad is now closed and is an example of a job including maths skills.
- One of Australia’s leading general insurers
- Flexible working environment
- Career development opportunities
IAG is the largest general insurance group in Australia and New Zealand, with a growing presence in Asia. IAG owns some of the region’s most trusted brands, including NRMA Insurance, CGU, SGIO, SGIC, WFI and Swann Insurance.
At IAG, we believe that everyone has a unique point of view to share, shaped by their life experiences, cultures & passions. We celebrate and commit to:
#Proud to be me – we value difference, not sameness
#Together – harnessing our collective wisdom enables us to bring our best for our customers & each other
#No boxes – it’s not about labels, boxes or categories, rather it’s about building a diversity, inclusion & belonging mindset into everything we do
In addition to a diverse and inclusive culture, some of our benefits include 13% superannuation, 50% insurance discounts, flexible work and leave options, generous parental leave and return to work program, recognition and reward program, and various corporate partner discounts. Visit our website to find out more www.iag.com.au.
We currently have an opportunity for a Principal Statistician to join our Natural Perils division located in Sydney on a full-time basis. This will be a lead role in the statistical and scientific modelling of weather, climate and other natural perils risks in Australia, New Zealand and other regions, for the purposes of reinsurance modelling, risk-based pricing, major event support, and reinsurance claims settlement.
- Lead the technical development of natural perils risk models, with an emphasis on weather and climate perils, for both reinsurance and risk-based pricing applications
- Deliver technical pricing results to IAG business units, and collaborate with stakeholders on their implementation within pricing engines
- Identify and solve outstanding analytics problems within the reinsurance area
- Mentor, train, and manage team members to fulfil the objectives outlined above
- Liaise and collaborate with the domestic and international scientific community, to address critical IAG knowledge gaps
Keys skills and experience required
- Broad, expert-level knowledge of modern applied statistics, including spatial statistics, exotic regression models, and statistical computation.
- Broad, expert-level knowledge of weather and climate science.
- Ability to locate, access and manipulate climate and weather data.
- Expertise in computational data analysis (R, Matlab, SQL, parallel computation, etc.)
- Extensive (>5 years’ post-master’s degree) interdisciplinary and collaborative research experience in applied statistics, and weather, climate or other peril science
- Extensive research-level experience applying computationally intensive data analytic techniques to weather and climate data, in order to arrive at actionable results.
- Experience leading research initiatives.
- Experience in a mentorship and/or teaching role.