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 Analyst - 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.
• Specific knowledge and experience in AML/CTF analysis and detection rules
• Degree qualifications in a STEM field
• Demonstrated experience using SQL, Python, Excel and PowerBi including experience in reporting and using data visualisation tools to tell your story. 
• Strong communication skills with a knack for engaging your stakeholders and articulating technical requirements in meaningful and influential ways.
• A passion for growing your own and the team’s analytical capability.
• Enthusiasm to take charge and be responsible for the design and implementation of clever data and analytics solutions.

 

 

So, why work for us?

• Want big impact that matters? Here, you’ll know your work directly benefits the customers and communities we all serve.

You’ll also get access to a great range of benefits, including:

• Flexibility means different things for different people. Whether it’s hybrid work, flexible hours, a compressed work week, job-sharing or something different, our flexible work options are designed to put people first
• Health and wellbeing support, including discounted gym memberships, private health insurance options, and our Employee Assistance Program (EAP) for you and your immediate family members
• Opportunities to take your learning to the next level through our corporate university ‘BEN U’ or at an external provider of your choice

 

We believe a diverse workforce supported by an inclusive culture is central to our success and we actively encourage applications from those who bring diversity of thought to our business. We support candidate requests for adjustment to accommodate an illness, injury, or disability to equitably participate in the selection process.

 

We’re making better, bigger. And we’ll get there with you.

Now’s the time to set your sights even higher – on the future you and the future career you deserve.

 

Due to the high volume of interest we may close the advertising early.