Data Analytics, LSM Delivery Retail Risk
Melbourne, AU
ANZ Banking Group Limited
ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.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 Data Analytics in our LSM Delivery Retail Risk Team, you’ll play a key role in helping to Second line oversight function focused on the early identification of portfolio and customer stress, supporting business growth opportunities and customer contact strategies across Retail and Commercial Divisions with a focus on:
- customer deep dive and predictive analytics and
- the development of portfolio and customer management limit and growth strategies.
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: 12 Months Fixed Term
Role Location: Melbourne
Work Hours: Full Time
What will your day look like?
This role is accountable for:
- Working in conjunction with group and divisional risk teams and wider business teams to monitor and understand strategy impacts on credit risk profiles.
- Provide strategic input into the risk data and analytics environment, embedding data governance requirements and managing day-to-day data integrity issues where required.
- Continue to support the development of best practice Portfolio Monitoring & Management within the bank, working with and supporting stakeholders and leveraging new and existing data and analytics capabilities and driving simplification and de-duplication where possible.
- Produce information analysis and recommendations to highlight risks and opportunities.
- Provide support to team members to meet the demands for Portfolio Risk Managements responsibilities.
- Support the development of positive Net Income returns from supporting x-sell activities where required.
- Timely identification of credit risk (capital, provision) and performance measurement metric impacts.
- Demonstrate understanding of relevant regulatory requirements and execution of ongoing activities in line with requirements.
- Development, execution and monitoring of frameworks and strategies to meet relevant regulatory requirements and second line credit risk responsibilities.
- Support the development of customer level view strategies and processes, using data and risk systems for purposes of lending responsibly, customer credit risk insights (stress and opportunities).
What will you bring?
To grow and be successful in this role, you will ideally bring the following:
• Strong analytical, numerical, research and problem-solving proven ability to turn data into information and information into actionable business decision strategy.
• Proven technical capabilities and experience with data analytics/science and/or decision systems techniques and tools (e.g., SAS, SQL, R, Python, PowerCurve, AbInitio, etc.).
• Proven ability to design, enhance and work with reporting sources.
• Strone experience in risk management, managed strategies for both retail and commercial products (3+ products).
• Skilled at the use of facts in discussions and communication with staff and peers.
• Ability to create strong links with P&L and the operational business areas.
• Proven ability to build financial models and use of predictive analytics.
• Strong ability to communicate up (one level above) and amongst peer groups.
• Solid people and project management skills - with the ability to motivate and manage one or more analyst(s).
• Well-developed written and oral skills with ~60% of role behavioural, stakeholder engagement evident, executive presence a strength, 40% of the role technical (having already exhibited experience in previous technical roles via individual’s career path).
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're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.
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 90616 .
Job Posting End Date
04/04/2025 , 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Data Analytics Data governance Python R Research SAS SQL
Perks/benefits: Career development Flex hours Health care Team events
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