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This is a permanent role in the Retail Insurance Australia (RIA) Pricing team. Our team advises and supports an extensive range of personal insurance products, including Home, Motor and Niche products.
The purpose of the role and your unique contribution is to specialise in driving technical excellence across RIA pricing team; undertake data-driven technical pricing modelling and analysis to enable IAG to charge the right premium for every risk in Australia.
You will be part of a high-performing team shaping and delivering world class pricing; imagining, experimenting and delivering the technical innovations of the future across machine learning, predictive analytics and actuarial techniques; undertaking research and development to advance pricing capabilities; providing technical advice and support to the broader RIA pricing community; working in close partnership with the business to generate tangible value and benefits. You will be responsible for leading large pricing initiatives and guiding and developing other team members.
This is an exciting time of change, innovation and expansion in IAG and the successful candidates for these positions will be experimenters that seek the truth, are prepared to challenge the norm and seek new ways of working that create real value.
This is a permanent role, and we welcome applicants from Meanjin (Brisbane), Naarm (Melbourne) and Gadigal Country (Sydney). About You Tertiary qualifications in Actuarial, Mathematical, Statistics, Data Science or other analytical disciplinesSound knowledge and experience in general insurance industry, ideally in pricing with 5+ years of experienceExperience analysing complex data, preferably in general insurance actuarial or analytical rolesProficient in programming with analytical software such as R, Python, SAS and/or SQL; Experience with Earnix is advantageousExperience across actuarial and technical pricing methods; Experience across design, build and evaluation of pricing models are highly advantageousExtensive experience using and building machine learning algorithms, GLM models and advanced skills in statistical analysis, quantitative/predictive analytics, multivariate testing and optimisation algorithm are desirable; Experience in behavioural models is desirableExperience building dashboards in programs such as R Shiny and TableauStrong communication skills, in particular the ability to communicate complex technical concept, quantitative analysis in a clear, precise and actionable manner to a range of stakeholdersStrong analytical, critical thinking and problem-solving skillsJoining IAG, you'll have access to:
Boosted superannuation with 13%as standardUp to 50% off personal insurance, including home and Home insurance5 myLeave days per year on top of annual leaveWork from home and many more flexibility options with myFlexIndustry-leading 20 weeks paid parental leave, available from the day you start, for both primary and secondary carersDedicated career growth programs, including the award-winning IAG AcademyGreat employee network communitiesAward-winning recognition and reward program*employment type eligibility criteria apply
ABOUT US NRMA Insurancehas been protecting what matters for 100 years. Part of Insurance Australia Group (known as IAG), we're proud to be one of Australia's largest and most iconic brands.
We're part of the largest general insurance group in Australia and New Zealand. Together our family of brands turns the IAG purpose of making your world a saferplace into action by helping, supporting ambitions andmaking insurance accessible.
We're guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses and communities. Collaborating on Indigenous-led solutionsthat enable growth,develop resilienceand create meaningful change, and support the leadership development of our Indigenous employees.
As part of IAG, you'll enjoy a world of opportunity, growth and stability and work in an environment that celebrates all viewpoints shaped by life experiences and cultures. Together we're passionate about social issues, climate change resilience, big tech and being an inclusive workplace.
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