Career Opportunities for Data Analytics Professionals

1 week ago

Sydney, New South Wales, Australia beBeeFraudDetection Full time $120,859 - $133,183

Job Title: Fraud Detection and Analysis Manager

About the Role

The Fraud Detection and Analysis Manager leads a team responsible for payment control support through customer payee maintenance and detective capabilities. This is a newly created role.

Key Responsibilities:
  • Lead a team in providing payment control support via customer payee maintenance and detective capabilities.
About You

To be successful in this role, you will need:

  • Extensive experience working in fraud or risk analytics within financial services.
  • Expertise in both data analytics and data management, complemented by a strong understanding of fraud risk management or broader risk management principles.
  • High-level communication skills with oral, written, and the ability to deliver concise recommendations on a course of action.
  • Confidence and experience in leading a team.
Essential Requirements
  • Tertiary qualification and/or demonstrated experience in fraud-related data analysis and investigation.
What We Offer

We offer interesting, challenging, and rewarding work that has real purpose. Our benefits include:

  • Work-life balance with flexible work options.
  • Various leave options.
  • Career development including study leave and acting opportunities.

Join our dedicated agency and make a difference in the lives of people each year.

About Us

We protect, promote, and support the rights, dignity, choices, and wishes of our customers. Join us and make a difference in their lives.

Our Commitment to Diversity

We are committed to creating an inclusive environment where everyone feels valued and respected.

How to Apply

Please submit a resume (maximum five pages) and brief cover letter (maximum two pages) outlining your skills, experience, and suitability. Additionally, answer the following two targeted questions:

  • Please outline an example of how you have worked with multiple data sets to analyze and review transactions for patterns and investigate potential issues. What methodology (if any) did you utilize in reviewing and refining any fraud detection rules?
  • What processes have you recommended / put in place to minimize financial risk? What was the risk and how was this control selected?

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