You are a passionate and engaging Analyst who has a true passion for Data Science & Modelling. We are a high performing team with a passion for innovation, continuous improvement, and effective risk management across the Group. Together we can lead the delivery of world-class data, analytics, and modelling capabilities to improve the financial wellbeing of our customers and communities and really make a difference. See yourself in our team: This role sits within the Model Development Centre of Excellence that is responsible for developing Credit Risk models and performing advanced analytics across the Group to provide key risk and business insights. The team develops estimates for Probability of Default, Loss Given Default and Exposure at Default for retail credit portfolios. These estimates are used across all CBA lending business units, including ASB and Bankwest for regulatory capital calculations, provisioning and stress testing. On a day-to-day basis you will: Actively contribute to the development, maintenance, and enhancement of key credit risk models that are used across CBA. Generating insights for CBA’s credit portfolios, by building statistical models and performing analyses with sound application of advanced statistical techniques, using R and Python. Interact with other teams involved in the credit modelling lifecycle across CBA, including independent model validation, business unit risk teams, and model users. Participate in projects to improve the agility and efficiency of model development activities. Thoroughly documenting the modelling results and the thought process around the choice of modelling methodology in a concise and user-friendly form, to enable stakeholders to independently validate the final model and assess its impact. We are interested in hearing from people who have: Practical experience in Quantitative Modelling or Data Analytics. Experience in modelling using R or Python, using version control and collaboration platforms like GitHub, data science platforms like AWS Sagemaker or H20.ai, applying appropriate Machine Learning algorithms, and working and maintaining datasets using Teradata SQL. Demonstrated skills in written and verbal communication, including ability to interpret and report complex material and make sound recommendations to a range of stakeholders. Diligent, collaborative and entrepreneurial work-style delivering error-free output using innovative techniques and working with remote and on-site teams across the unit to drive improved risk analytics. Experience in developing or awareness of credit risk models to predict risk estimates such as PD, LGD and EAD to support credit risk decisions is an advantage. Tertiary qualifications, with above average academic achievements, in a Quantitative discipline such as Mathematics, Statistics, Econometrics, Engineering and Data Science. At CBA we are dedicated to building a diverse, inclusive and authentic workplace. So, if you're excited about this role but your past experience doesn't perfectly align with everything in this job advert, we encourage you to still apply. If this sounds like you, apply now! If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 23/06/2025