Fraud Scam Prevention Analyst

at  ANZ Banking Group

Req ID: 62257
Department: AR Customer Services Ops Customer Protection COE
Division: Australia Retail
Location: Docklands
About the role
At ANZ our purpose is to shape a world where people and communities thrive. We’re making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying their home, building a business or saving for things big or small.
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.

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
Role Location: 833 Collins Street, Docklands VIC 3008
Role Type: Full-Time, Permanent opportunity (40 hours/week)
What will you bring?
To grow and be successful in the 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?
There’s something special about being part of ANZ. From the moment you join us, you’re part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
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 and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You’ll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We 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, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit www.careers.anz.com. You may apply for this role by visiting ANZ Careers and searching for reference number 62257
Job Posting End Date
29/03/2024, 11.59pm, (Melbourne Australia