Fraud Scam Prevention Analyst

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Division: Australia Retail

Location: Melbourne

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

This role provides an opportunity to join the Fraud Analytics team working together with stakeholders across the business to protect our customers against fraud and minimise ANZ's fraud losses. The successful candidate is expected to use analytical techniques to utilise internal and external data/indicators to identify compromises and fraud/scams trends and come up with prevention and detection strategies to mitigate the risk and exposure. The role involves liaising with internal teams and the broader fraud/scams community comprising of representatives from other banks, schemes, external vendors and government bodies. The role also involves ensuring timely and accurate reporting of fraud losses and metrics to business stakeholders and providing insights on the same. Knowledge of fraud/scams, strong analytical skills and a background in data mining/working with multiple sources of data are key attributes to succeed in this role.

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?

The key accountabilities and deliverables for this role are:

- Reduction of fraud/scams losses
- Reduction of false positive rates
- Improved customer experience for those impacted by fraud and scams
- Reporting on current trends
- Collaboration between team members and with stakeholders

What will you bring?

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

- Understanding of retail & commercial bank products, payment channels/types & associated fraud risk
- Experience with fraud/scams analytics (including coding/data science, working in the fraud/scams/digital security area, close coordination with fraud teams) is preferred
- Experience with using SAS/SQL in prior/current role
- Experience at financial institutions or in the payment industry is preferred
- Experience with data mining and analysis of large datasets & reporting
- Ability to manage multiple priorities and support quick decision-making
- Demonstrated ability to work collaboratively with internal & external stakeholders and peers

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 91736.

Job Posting End Date

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