Fraud Analyst
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Why HBF
A diverse and inclusive workplace where your contributions are valued
Flexible working with work from home optionsand 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 youll 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 youll 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.
Youll 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 youll 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
Youre 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.
Youll 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. Were 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
Required Experience:
IC
Why HBF
A diverse and inclusive workplace where your contributions are valued
Flexible working with work from home optionsand 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 youll 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 youll 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.
Youll 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 youll 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
Youre 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.
Youll 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. Were 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
Required Experience:
IC
Key Skills
- Microsoft Office
- Risk Management
- Financial Services
- Customer Service
- Fraud
- Root cause Analysis
- Law Enforcement
- Banking
- Analysis Skills
- Authentication
- Qualitative Research Interviewing
- ACH
