Job Title: Financial Crime Data Analyst (Fraud) - Suncorp Bank Job Title: Financial Crime Data Analyst (Fraud) - Suncorp Bank Req ID: Department: SB Financial Crime - EB Division: Suncorp Bank Location: Brisbane About Us
At Suncorp Bank you can build a career with exceptional growth potential, within a culture of purpose and belonging.
As part of the ANZ Group, when you apply to join Suncorp Bank, you'll be directed to ANZ systems and receive correspondence and notifications from ANZ as part of the recruitment process.About the Role As a Financial Crime Data Analyst (Fraud) in our Everyday Banking team you'll play a key role in helping to monitor, detect, delivery and develop real time decisioning strategies and tactics deployed in our financial crime systems, solutions and services.
Role Location: Brisbane
Role Type: Permanent, Fulltime
What will your day look like?
As a Financial Crime Data Analyst (Fraud), you will: Look after the implementation of strategic and tactical response to emerging financial crime threats, leveraging advanced detection solutions and services.
Deploy real-time fraud controls to prevent and mitigate fraud, proactively staying ahead of emerging threats.
Develop and execute strategies and roadmaps for financial crime analytics, ensuring our systems remain at the cutting edge in detecting and preventing crime.
Maximise the effectiveness and efficiency of financial crime systems, solutions, and services.
Identify gaps and opportunities to transform the way financial crime detection, data and insights are presented and consumed.
Support other Financial Crime team members on the delivery of financial crime strategies and tactics.
Actively collaborate with Functions, Compliance, Risk and Technology teams to facilitate effective design of detection controls in support of business risk appetite.
Champion change within Financial Crimes, particularly as it relates to the development and delivery of detection and analytical strategies.
What will you bring?
To grow and be successful in this role, you will ideally bring the following: Previous experience in data analytics, ideally within the financial crime data analytics environment
Knowledge of SQL and experience with analytics tools such as Python (for data manipulation) and Tableau/PowerBI (for data visualisation)
Ability to clearly present risk findings and recommendations to business stakeholders and to apply knowledge to identify, assess and develop strategies for emerging financial crime risks
Formal qualification in technology, information systems, data analytics or finance/commerce is desirable You're not expected to have % of these skills.
We value a growth mindset, so if you have most of these things in your toolbox, we'd love to hear from you.
So why join us?
Suncorp Bank is a proud part of the ANZ Group and a place where you'll be doing work that really matters.
That's because every role, in every team is working towards supporting the financial wellbeing of our million+ customers.
Our team members' wellbeing is a top priority and we know it's the added extras outside the workplace that can make all the difference.
We offer a range of benefits and support resources so you can create a healthy work-life balance, helping you bring your best every day.
We also provide tools that enable remote work to support flexible work arrangements whenever possible.
Being part of Suncorp Bank opens a world of exceptional growth opportunities, across Suncorp Bank as well as the many divisions within the ANZ Group which operates in almost 30 markets across the globe.
Suncorp Bank is committed to creating a workplace where people from all backgrounds, identities and beliefs can thrive in an environment of inclusivity and mutual respect.
We welcome applications from everyone and invite 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 or access requirement, let us know how we can provide you with additional support.
Job Posting End Date
30/09/, 11.59pm, (Melbourne Australia)