Closing date: 13 November
We’ve never been ‘just a bank’. Just like you should never be ‘just an employee’. We’re united in our belief that in banking, better can be bigger, and together we’re making it happen.
It starts here. With Bendigo Bank… and you.
Come and be part of an awesome team where the focus is on building out our analytics capabilities. You’ll love the good you can do here. Your data analytics experience will help to protect the Bank, our customers and the communities we serve from the impacts of fraud and financial crime.
The team has 2 focuses: AML & Fraud and this position will be part of the AML Focus.
What makes this role unique is that you won’t just be responding to instructions or coding, you’ll help shape the strategic direction of AML/CTF detection and prevention for the Bank!
As an Ana lyst - Data and Analytics in our Group Financial Crime Risk Department you’ll make an impact by:
- Working hand in hand with our Financial Crime and Technology teams to support a strategic uplift in the development of financial crime detection and prevention strategies. You’ll review and improve existing approaches to data-based fraud prevention and design/implement new ways to detect and prevent fraud.
- Analysing, detecting and preventing financial crime and key financial crime threats, specifically related to AML.
- Engaging stakeholders from across the value chain to gain endorsement for solutions, with a key focus on maximising benefits for Customers, making their Banking safer and continuing our commitment to being Australia’s most trusted bank.
You’ll have access to self-paced GCP training.
This is a 12 month fixed term role and we are open to various locations. We offer flexible work options that put our people first, and a hybrid model of minimum three days per week based out of our corporate offices
Position description: 
Analyst - Data and Analytics (AML Team) Position Description.docx
What you’ll bring to the role
To succeed in this role, we’d love you to have
- 3+ years of working experience as a data analyst where you have mined large complex data sets to identify and interpret trends and patterns.