Job Description
Mō tēnei tūranga mahi | About this role
Join our Integrity Services (Fraud Services) team and help protect the ACC scheme through data-led initiatives to identify external fraud, waste, and abuse.
Mō tēnei tūranga mahi | About the role
ACC's vision is to create a unique partnership with every New Zealander, improving their quality of life by minimising the incidence and impact of injury: Improving lives every day. The Integrity Services Team is responsible for preventing ACC from fraud, waste, and abuse.
The Integrity Compliance (Fraud Analytics) team protects ACC's sustainability of the scheme by preventing fraud and abuse from people who interact with ACC. The team is responsible for delivering data-led anomaly detection and monitoring tools, which enables ACC to be more effective in their interventions to prevent fraud and abuse.
The Integrity Compliance Analyst collaborates with internal customers and other experts across ACC to design and implement fraud prevention and detection systems and tools. The person in this role will:
- build and develop analytical tools and reports using their data science-based experience and skills to inform timely and accurate interventions to reduce and prevent potential fraud
- find valuable insights and trends that drives action for their stakeholders through identifying opportunities and ask the right questions
- bring their innovative and creative thinking, and explore new data capabilities, e.g. exploring AI machine learning (ML)
You might be a professional in a data team, or a talented new graduate looking to start on your career path. If this opportunity sounds great to you - be part of our team and make a real difference.
The base salary range for this role is $73,196 - $94,724 with appointment in the range depending on skills and experience. ACC also offers 9% superannuation.
For a detailed position description, please click here.
Ko wai koe | About you
- Ideally at least 1 to 2 years of relevant work experience, preferably in data & analytics teams in a related discipline.
- Proficient in programming languages and analytical software e.g. SQL, Python and R.
- Proven ability in data science techniques including predictive modelling, data visualisation, and machine learning exploration.
- Relevant experience in designing and carrying out projects, then effectively communicating the results and insight to stakeholders.
- Proven problem solving and ability to implement solutions
- Excellent interpersonal and communication skills (both verbal and written), with the ability to tell the data story to a range of stakeholders
What you can expect
An opportunity to strengthen the integrity of the ACC scheme through preventative detection of fraud, waste, and abuse.
- Work as part of a team of like-minded individuals in an evolving and advancing technology environment.
- Work in an environment that has an emphasis on both your professional development and your personal wellbeing.
Rā Kati | Applications close
Please ensure your application clearly highlights the required skills and experience that are listed above. Please provide your official academic record with your CV and a cover letter.
Applications will close at 5:00pm, 8 July 2025 and we will be reviewing applications as they are received. Applications can only be accepted when submitted through our Career Website.
If you encounter accessibility issues when submitting your application, or if you have any pātai (questions), please contact HRHelp@acc.co.nz.