Fraud Analyst

5 days ago

Sydney, Australia HBF Health Full time

**Job no**: 494419
**Work type**: Permanent full time
**Location**: Sydney, Melbourne CBD, Perth CBD, Brisbane, Townsville
**Categories**: Health Services

**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.

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

**Advertised**: 13 Oct 2025 W. Australia Standard Time
**Applications close**: 26 Oct 2025 W. Australia Standard Time

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