Fraud Analyst
2 months ago
About us
At Auto & General (A&G), we provide smarter products and solutions to safeguard our customers in their time of need. Our range of general insurance products protect customers on the road, at home and on holiday with various Car, Motorcycle, Home, Contents, Pet and Travel Insurance products as well as Roadside Assistance.
Our culture of ‘high performance with high integrity’ underpins our values and the way we interact with our customers, the community and each other. We’re excited about the future and we’re always on the lookout for talented, passionate individuals who can help us achieve our goal of being Australia’s best insurer If this sounds like you, apply today.
The role
- This role is pivotal in safeguarding our organisation's integrity by detecting and preventing fraudulent activity within the insurance sector.
- Utilising expertise in intelligence analysis, you will identify patterns, trends, and anomalies in data sets to uncover potential fraud.
- Collaborating closely with stakeholders, you will gather intelligence, provide briefs for investigators, and make informed decisions regarding claim validity.
- The role aims to protect company interests, mitigate risks, and ensure compliance with industry regulations.
- Review and validate claims to identify instances of non-genuine activity or intentional fraud.
- Analyze claims using internal data sets, closed-source intelligence, and open-source validation tools.
- Collaborate with a diverse range of stakeholders, including criminal justice organizations, forensic specialists, assessors, and industry experts, to gather relevant information and insights.
- Liaise effectively with internal and external stakeholders involved in the claims process, such as assessors, investigators, builders, third-party drivers, businesses, witnesses, insurers, and clients, ensuring compliance with privacy and legal requirements.
- Engage with external investigation services to access additional information.
- Review and validate claims to identify instances of non-genuine activity or intentional fraud.
- Analyze claims using internal data sets, closed-source intelligence, and open-source validation tools.
What experience you’ll bring
- Minimum of a bachelor’s degree in a relevant field such as criminal justice, law, psychology, or a related discipline, OR A minimum of 2 years of experience in intelligence analysis, preferably within the insurance industry or a related field such as law enforcement or financial services
- Certifications or graduate certificates in intelligence gathering or fraud detection are advantageous but not mandatory.
- Demonstrated experience in analyzing large data sets and utilizing intelligence gathering tools and techniques.
- Familiarity with industry regulations and compliance standards related to insurance fraud detection.
- Experience collaborating with internal and external stakeholders, including law enforcement, solicitors, agencies, forensic specialists, and assessors.
- Strong analytical, communication and critical thinking skills.
- Strong proficiency in computer and administration tasks, coupled with effective time management skills.
- Excellent problem-solving and decision-making skills, along with adept negotiation and conflict-resolution abilities.
- Ability to work autonomously and build professional resilience.
- Well developed and demonstrated understanding of the legislative, regulatory and compliance obligations to operate in the FSR environment
We have other current jobs related to this field that you can find below
-
Fraud Analyst
4 weeks ago
Toowong, Australia Auto & General Insurance Full timeOur perks - Extra leave - Enjoy additional leave days on us! You’ll receive a paid ‘ME’ day and one paid volunteer leave day annually. Team members can also purchase up to two additional weeks of leave per year. - Paid parental leave - We support our new parents with paid parental leave and other benefits. - Workplace giving - If you’re passionate...
-
Fraud Analyst
4 weeks ago
Toowong, Australia Auto & General Insurance Full time**About us** At Auto & General (A&G), we provide smarter products and solutions to safeguard our customers in their time of need. Our range of general insurance products protect customers on the road, at home and on holiday with various Car, Motorcycle, Home, Contents, Pet and Travel Insurance products as well as Roadside Assistance. **The role** This...
-
Fraud Analyst
5 days ago
Toowong, Queensland, Australia Auto & General Insurance Full timeAbout usAt Auto & General (A&G), we provide smarter products and solutions to safeguard our customers in their time of need. Our range of general insurance products protect customers on the road, at home and on holiday with various Car, Motorcycle, Home, Contents, Pet and Travel Insurance products as well as Roadside Assistance.The roleThis role is pivotal...
-
Fraud Analyst
5 days ago
Toowong, Queensland, Australia Auto & General Insurance Full timeOur perks Extra leave Enjoy additional leave days on us You'll receive a paid 'ME' day and one paid volunteer leave day annually. Team members can also purchase up to two additional weeks of leave per year. Paid parental leave We support our new parents with paid parental leave and other benefits. Workplace giving If you're passionate about a cause, then we...
-
Fraud Analyst
6 days ago
Toowong, Queensland, Australia Auto & General Full timeAbout us At Auto & General (A&G), we provide smarter products and solutions to safeguard our customers in their time of need. Our range of general insurance products protect customers on the road, at home and on holiday with various Car, Motorcycle, Home, Contents, Pet and Travel Insurance products as well as Roadside Assistance. Our culture of 'high...
-
Intelligence Analyst
5 days ago
Toowong, Queensland, Australia Auto & General Insurance Full time(Insurance) Interpreting complex data, detecting, reducing and preventing Fraud to protect the organisation from revenue loss.
-
Intelligence Analyst
1 month ago
Toowong, Australia Auto & General Insurance Full time(Insurance) Interpreting complex data, detecting, reducing and preventing Fraud to protect the organisation from revenue loss.
