Senior Fraud Analyst

Key Responsibilities / What You Do

• Represent the Global Claims Risk Unit as a Fraud Management Subject Matter Expert(SME) for cross functional activities, Client Updates, New Business Solutions and Auditing
• Analyze claims data to identify unusual patterns and potential fraud indicators.
• Support the Fraud Analysts throughout the Fraud Process (Identification, Investigation, Corrective Actions)
• Conduct thorough investigations into suspicious claims, including interviewing claimants and gathering relevant documentation.
• Utilize advanced analytics and fraud detection tools to enhance fraud detection capabilities.
• Perform detailed data analysis to uncover trends and anomalies indicative of fraudulent activities.
• Prepare comprehensive reports on findings, including actionable recommendations.
• Participate in cross-functional teams to develop and implement fraud prevention strategies.
• Ensure all fraud detection and investigation activities comply with internal policies, external regulations, and industry standards.
• Maintain accurate and detailed records of investigations and outcomes.
• Prepare and present fraud reports to senior management and stakeholders.
• Identify opportunities to enhance fraud detection and prevention processes.
• Stay current with industry trends, emerging threats, and new technologies in fraud prevention.
• Provide training and guidance to junior fraud analysts and other staff on fraud detection techniques and best practices.
• Mentor team members, fostering a culture of vigilance and proactive fraud prevention.
• Take part in other projects when required, review documentation and contribute where applicable, research information relating to your area and provide feedback.
• Other Ad hoc duties as required

Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use

• Bachelor’s degree in any Medical field, Finance, Business Administration, Insurance, or a related field preferred.
• At least 5 years’ experience in analysing and assessing medical claims of high values and complexities
• With proven track record in Fraud mitigation
• Strong ability to communicate effectively with various audiences and all levels of the organisation
• Proficiency in MS Office (in particular in Excel, Power BI, PowerPoint)
• Excellent level of written and verbal English is essential.
• High level of solution orientation & decision making
• Have obtained or be working towards 1 or more of the following:
• Fraud (eg ACFE
• Medical Qualification
• Data Analytics
• International Medical Coding
• Legally permitted to work in the country of operations.
• Hybrid working option available as per business requirements.

Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.

Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.

Our products are embedded seamlessly into our partners’ businesses or sold directly to customers and are available through four commercial brands:
Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.

We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.

We therefore welcome…