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SalaryHow will I help?
The purpose of this role is to ensure a sound data environment to support credit risk models. This will include maintenance of modelling data both in technology-controlled data platforms and user-controlled discovery environments, supporting data processes for model development and monitoring, performing data governance of the modelling data, and engaging with the Bank's wider data community to ensure modelling data availability and quality.
Some of the key responsibilities for this role will include:
- Maintain user owned modelling data environment, which includes ongoing maintenance, change management process etc.
- Support technology owned data environments or platforms that are used by modelling teams, which includes project planning/scoping, review of functional specifications, regression testing and UAT testing.
- Maintain data processes for modelling and model monitoring.
- Maintain data governance frameworks for Credit Risk Modelling function (Risk Models team), including model monitoring.
- Design and maintain Critical Data Element identification methodology in the context of modelling and model monitoring
- Design and maintain DQ rules and Data profiling rules for critical data elements
- Design and maintain DQ dashboards
- Provide DQ summary to model annual reviews and model monitoring working groups
- Design and maintain modelling code management framework, including code change process
- Address DQ issues for modelling and model monitoring, which may include issue identification, issue impact assessment, root cause analysis, issue resolution etc.
- Support data platform transitions under the enterprise roadmap, including transition into cloud-based data and computing environment.
- Document data governance frameworks and data management processes
You'll play an important and significant part in the future of a business that has been around for 200 years and be instrumental in achieving our purpose of helping Australians succeed. So, we'll back you in the development of your career, with internal career prospects and flexible working. You'll also be backed by a fantastic team of people in a can-do, supportive structure.
What do I need?
- Minimum of three years' experience within credit risk/analytical/data management environments or equivalent
- Analytical and problem-solving skills
- Tertiary qualifications (Quantitative/Business or other relevant degree) or equivalent business experience
- Strong knowledge of IT principles and system development lifecycle, data management
- Sound statistical knowledge (desirable)
- Advanced knowledge of data governance, including CDE, Data Management, Metadata and Data issue management.
- Detailed knowledge of banking credit risk framework
- Sound knowledge of credit risk modelling and model monitoring.
- Advanced SAS programming skills, SQL, R and Python (at least 2). Working knowledge of Excel with VBA, Word, PowerPoint, version control (e.g., Bitbucket) and visualisation tool (e.g., Tableau) would be advantageous.
We aim to provide one big, supportive team of people who love helping others succeed. As an equal opportunity employer, we're proud to have created a culture and work environment that values diversity and flexibility - and champions inclusion.an equal opportunity employer, we are proud to have created a culture and work environment that values diversity and flexibility - and champions inclusion.
How do I Apply?
Start here. Just click on the APPLY button.
As part of our commitment to creating a diverse and inclusive workplace, this role is open to experienced candidates seeking a discussion around workplace flexibility. We invite candidates of all ages, people with a disability and Indigenous Australians to apply.
Our people are our highest priority and we are committed to placing our redeployees in available roles before we review other applicants.
