Credit Risk Senior Data Analyst

About Us

At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As a Credit Risk Senior Data Analyst in our Team, you’ll play a key role in helping to create data to be considered for use in mortgage credit risk models

Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.

Role Type: Permanent

Role Location:  Melbourne

Work Hours: Full Time 

What will your day look like?

This role would suit a talented and motivated Credit Risk Data Analyst who would like to join a cross-functional team dedicated to providing high quality data for use in a credit risk models.

•    Identifying potential new sources of data 
•    Interrogating the data to determine which is predictive of credit default
•    Assessing data quality and cleaning data
•    Creating “model-ready” data
•    Testing code
•    Completing draft documentation of the business logic

What will you bring?

To grow and be successful in this role, you will ideally bring the following:

•    Strong problem solving skills, written and verbal communication skills, and stakeholder engagement skills. 
•    Strong analytical skills and proficiency in data analysis tools (e.g., SQL, BigQuery, Python, R, SAS ).
•    Ability to identify and analyse information quickly and efficiently; leverage innovative and creative solutions to solve problems related to data and models.
•    Ability to maintain high standards of accuracy and work under pressure to achieve deadlines
•    Ensuring deliverables meet stakeholders’ expectation and with the ability to work in a cross functional environment.
•    Sound understanding of the risk environment, processes and systems 
•    Quantitative degree in statistics, actuarial, econometrics, mathematics, physics, engineering or related field.
•    Exposure to credit risk models would be an advantage.  
 

You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 77481.

Job Posting End Date

23/10/2024 , 11.59pm, (Melbourne Australia)