Share this Job

Predictive Modelling - Analyst/Senior Analyst

At IAG, we live and work by our purpose to make your world a safer place. We are motivated by a unique culture that celebrates honesty, creativity, empathy, equity and collaboration. We call it the IAG way, and it means we all share a ‘ready for anything’ mindset that sets the tone for positive actions and positive outcomes. We put heart into everything we do which guides us to create amazing things for our customers, our people and our communities.  
We’re brimming with ideas, ambition and a readiness to apply bold thinking and risk awareness to make a difference where it matters most. 
As the largest general insurance group in Australia and New Zealand, we own some of the region’s most trusted brands, including NRMA Insurance, CGU, SGIO, SGIC and WFI. We are ready for anything. 


•    Actuarial Analyst/ Senior Analyst, Predictive Modelling
•    Sydney CBD
•    Permanent Roles available


The Predictive Modelling team is tasked with building Group Actuarial’s predictive modelling capability in support of its advisory teams. The team maintains the Group’s Internal Capital Model, supporting the Group’s economic capital decision-making through an understanding of dynamic financial analysis and the financial mechanisms of a general insurer.  
They are also developing a Predictive Modelling Platform in support of the Group’s reserving advisory teams. Leveraging machine learning techniques and other advanced analytics, the Platform is designed to enhance insight generation and increase efficiency of the Group’s modelling capabilities. 
This role would suit individuals who are interested in financial modelling, programming and automation, primarily using SQL (data storage and manipulation), Igloo (DFA simulation) and R (predictive modelling and data manipulation).

Skills and Experience 
•    Tertiary qualifications in an appropriate Technical discipline eg Statistics, Mathematics, Data Science, Actuarial, Finance & Engineering
•    Prior practical experience (minimum 1-2 years Analyst, 3-5 years for Senior Analyst) in the analysis of complex data, with a preference to experience in General Insurance roles
•    Practical experience with analytical software such as SQL, SAS, R, Python & Igloo
•    A strong communicator and team player.

IAG’s Group Actuarial 
The Predictive Modelling team is part of the broader IAG Group Actuarial team. IAG’s Group Actuarial aims to influence better strategic decisions through analysis of experience and trends to create insights into the future. Our team, led by the Chief Actuary, advises Board, Executive and Senior Business Leaders across Australia and New Zealand in understanding the uncertainty associated with the Group’s material risks and provides pragmatic advice on optimising its enterprise value. 


Ready for anything? Let’s talk.
Start your career journey with us and click ‘Apply’! Applications close on Wednesday 11th August 2021
IAG rewards and recognises its people with generous benefits, career development opportunities and real work-life balance. Employees also enjoy 13% superannuation, up to 50% insurance discounts, flexible work and leave options, generous parental leave and return to work programs, various corporate partner discounts and a people-focused culture that celebrates achievements big and small. 
Creating a workforce that actively embraces diversity, inclusion and a sense of belonging is key to our success. We believe in treating everyone fairly which means that inclusion, removing barriers, striving for equity and embracing diversity are woven through our values and behaviours.  We encourage applications from all backgrounds and communities and are committed to providing a work environment that enables you to thrive, whatever your circumstances. If we can provide support with access requirements, alternative work arrangements please advise us via your application.
IAG has committed to the reconciliation movement in Australia for First Nations people and focus on providing a safe and supportive work environment for all our employees. More information on our Reconciliation Action Plan can be found on our company website.