Advanced Analytics Analyst - Credit Risk Modelling

About the role

The Credit Modelling team at Commonwealth Bank builds models, analytical tools and insights that help make better lending decisions for its Business Banking customers. It is looking for an Advanced Analytics Analyst in Sydney who is curious about data and wants to develop modelling capability, even without previous credit risk experience. The team works on lending origination, servicing assessments, early warning and arrears, property analytics and merchant data.

Key responsibilities

• Support the development of statistical and machine learning models across commercial lending and credit-related use cases.
• Work with data to investigate business problems, identify patterns and choose appropriate analytical approaches.
• Contribute to machine learning-based origination scorecards and statistical modelling, including logistic regression.
• Explore new data sources and methodologies, including merchant data, property analytics and forecasting.
• Support model monitoring, implementation and ongoing model management.
• Help translate analytical findings into meaningful customer and business outcomes.
• Work alongside experienced credit modelling specialists and with the teams responsible for model deployment.

Required profile

• Strong quantitative and analytical problem-solving skills.
• Practical experience using Python or R for analysis or modelling.
• An understanding of statistical modelling and/or machine learning, from business problem through data preparation, model selection, testing and evaluation.
• Understanding of concepts such as feature selection, data quality, data leakage and model performance.
• Ability to take an ill-defined problem, ask good questions and reach a practical solution.
• Clear communication with stakeholders outside analytics and a genuine appetite to learn.
• Credit risk modelling experience is valuable but not essential; candidates from statistics, econometrics, mathematics, machine learning, customer analytics or other quantitative fields are welcome.