Fraud Scam Prevention Analyst

**Req ID**: 78719
**Department**: AR Customer Services Ops Customer Protection COE
**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
As a Fraud Scam Prevention Analyst in our Fraud Analytics team, you’ll play a key role in helping to protect our customers against fraud and minimise ANZ’s fraud losses. You are expected to use analytical techniques to utilise internal and external data/indicators to identify compromises and fraud 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 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, 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**: 833 Collins Street, Docklands VIC 3008
**Work Hours**: Full-time
What will your day look like?
**As a Fraud Scam Prevention Analyst, you will**:
**Fraud Detection Strategy**: Work on refining fraud detection rules and strategies to pro-actively identify potential Application Fraud events, whilst minimizing the impact to our genuine customers.
**Data Analysis**: Dive into large datasets using SAS and SQL to mine for trends and anomalies. Generate reports that highlight suspicious activities and patterns related to Application fraud.
**Collaboration**: Participate in regular meetings with investigation teams & industry peers, product, risk & technology to discuss ongoing cases, share insights, and coordinate efforts to enhance fraud detection capabilities.
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 Data mining and Analysis of large datasets & reporting
Experience working in Fraud or demonstrated close coordination with Fraud teams
Experience with using SAS/SQL in prior / current role
Demonstrated ability to work collaboratively with internal & external stakeholders and peers
Ability to manage multiple priorities and support quick decision making
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.
Job Posting End Date
01/11/2024, 11.59pm, (Melbourne Australia)