Manager Scorecard Modelling

5 days ago


Perth, Australia Commonwealth Bank of Australia Full time

Manager Scorecard Modelling

**Data Scientist**
- You are passionate about all things data, modelling, and insights with a positive attitude and attention to detail.
- You are independent and self-motivated with enthusiasm for innovation and continuous improvement.
- You dig in, problem-solve, and get things done.
- Together, we can deliver an exemplary experience for our stakeholders and the Group.

**Do work that matters**

At Bankwest, we are aiming to create Australia's favourite digital banking experience that helps customers simplify their banking needs. We offer market-leading products and services, supported by some of the world's best systems and processes.

**See yourself in our team**

As a Data Scientist, you will play a key role in developing, managing, and maintaining our critical modelling assets.

You will be at the forefront of driving innovation and ensuring the effectiveness of our credit risk management and business automation models.

Your work will directly contribute to forming business strategies. You will capture business problems and views, considering them in your model builds to provide actionable insights and solutions.

**Responsibilities**

Utilising data science and modelling techniques in SAS or Python to drive model development. Monitoring model performance and supporting the building, automation, and maintenance of a suite of Tableau reports. Analysing the performance of existing credit risk models and providing insights on their strengths, weaknesses, and applicability to the relevant portfolio. Proactively researching new ways of building models to help Bankwest push the boundaries of models while staying within Risk Appetite. Performing deep dive analytics into areas of particular interest or concern. Working closely with colleagues in the broader Credit Insights team and analytics community. Demonstrating Group values. Adhering to the Code of Conduct, which sets the standards of behaviour, actions, and decisions we expect from our people.

**We are interested to hear from people who have**
- Demonstrated experience in reporting, MI, or a business analytics role and are looking to step into predictive modelling.
- The ability to generate actionable value-add insights from data using tools such as SAS, Tableau, and Python.
- Exceptional written and verbal communication skills, with the ability to effectively engage with stakeholders off varying backgrounds.
- A risk mindset, with the ability to proactively identify and understand, openly discuss, and act on current and future risks.
- Degree qualifications or equivalent with strong academic grades in mathematics, statistics, econometric modelling, quantitative methods, portfolio modelling, data science, computer science, or other analytical disciplines.

If you live the values we can offer great opportunities, whether you want to move across the organisation or up into a leadership role, the Code of Conduct guides our decision making so we can do what's right in every situation.

You can be you, we want the real people beneath the skill set. We strive to be as diverse as the world around us because these experiences and differences support us to better understand our customers and each other. Together we shape the place Bankwest is today and tomorrow - a brilliant place made by us. We operate in a hybrid working environment, meaning a blend between being in one of our offices and working remotely.

We would be offering these roles on a fixed term full time basis.

**What's in it for you?**

Flexible working programs A highly diverse and inclusive team culture that promotes collaboration, innovation and psychological safely Group health fund and award-winning super fund. Ongoing development and career progression opportunities

If you're interested in joining the team,

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: 27/11/2024

Job ID REQ222780


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