Fraud Analyst

Why HBF?

• A diverse and inclusive workplace where your contributions are valued

• Flexible working with work from home options and offices nationally

• Fully subsidised Gold Hospital Insurance Cover

• 3 additional wellbeing days each year (on top of our standard 20 days annual and 10 days personal leave)

• 2 volunteering days per year

• Access to corporate discounts across a range of gyms, retail, restaurants, and hotels

As a Fraud Analyst, you'll be the detective behind the data, using your analytical skills to uncover unusual claiming trends, detect potential fraud or leakage, and support key business decisions that keep our fund strong and sustainable.

Every day, you'll turn raw data into insight and action, developing automated dashboards to supporting active investigations, you will help ensure we deliver the best possible outcomes for our members.

You'll collaborate closely with our payment integrity team and other internal stakeholders, bringing a sharp analytical eye and a practical mindset to one of the most important functions within HBF.

This role is available at any of our national locations on a hybrid work schedule.

What you'll do

• Develop and maintain fit-for-purpose reports on leakage, fraud, and claiming patterns

• Build smart automation and dashboards that streamline how insights are delivered

• Extract and analyse data to support investigations and real-time decisions

• Spott trends and build proactive strategies that prevent fraud before it happens

• Present insights that help leaders make informed, timely, and effective decisions

• Collaborate across teams to strengthen our overall fraud prevention strategy

About you

You're a natural problem solver who loves diving into data to uncover what others might miss. You combine curiosity with rigour, balancing investigative instincts with solid technical skills.

You'll bring:

• A degree (or equivalent experience) in Actuarial Science, Mathematics, Statistics, Data Science, or Economics

• Experience with SAS, SQL, Snowflake, and data visualisation tools like Tableau or Power BI

• Strong communication and report writing skills, using data to tell a story

• A sharp eye for anomalies, patterns, and opportunities for improvement

• Experience with Python or R, and understanding of private health insurance billing would be advantageous in this role

Next Steps
To apply, click on the "Apply Now" button to complete your application attaching a copy of your resume outlining your skills and experience in relation to this role.

At HBF, we believe in the potential of every individual. We're committed to creating an inclusive workplace where diverse perspectives are celebrated, because they make us stronger. We encourage applications from everyone, including Aboriginal and Torres Strait Islander peoples, people with disabilities, and members of the LGBTQIA+ community.

We want you to Be You, Be Bold, and feel supported every step of the way, so if you require any adjustments during the recruitment process, please contact us at to discuss how we can accommodate.

To learn more about our commitments visit: Community Initiatives | HBF Health Insurance