Assistant Manager, Medical Data Analyst ( FWA) at Daman
Abu Dhabi, Abu Dhabi, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

0.0

Posted On

22 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analytics, Predictive Modelling, Healthcare Claims Data, Fraud Detection, Statistics, Mathematics, Computer Science, Programming, Health Economics, Healthcare Management, CPT4, ICD10, Targeting, Optimization, Simulation, Decision Support

Industry

Insurance

Description
Serve as a strategic leader and innovator in our fraud, waste, and abuse (FWA) detection initiatives. You will own end-to-end data science projects that drive significant cost savings and transform our health insurance fraud analytics capabilities. This role requires rare expertise in healthcare claims data, advanced predictive modelling, and a strong business acumen to influence executive-level decision-making. The National Insurance Company – Daman The National Insurance Company – Daman is the UAE’s leading health insurer, providing comprehensive health insurance solutions to more than 3 million members in the UAE. Daman is part of PureHealth, the UAE's largest integrated healthcare platform with an ecosystem that changes lifespans and reimagines health spans with 28+ hospitals, 100+ clinics, multiple diagnostic centres, insurance solutions, pharmacies, health tech, procurement, investments and more. Daman, a pioneer in health care insurance, drives innovation through a combination of state-of-the-art technology and healthcare-related expertise offered by a highly skilled and knowledgeable workforce. Members benefit from added value through unique offerings such as the Disease Management Programmes. Daman provides a 24/7 customer call centre and medical services authorisation team who are in direct contact with Daman’s network of over 3,000 medical facilities. The company also provides a diverse range of digital services that are unmatched in the UAE. Daman has set high standards in the health insurance industry and has been awarded a number of internationally recognised awards and quality-focused certifications in a relatively short span of time.
Responsibilities
Lead and innovate fraud, waste, and abuse (FWA) detection initiatives by managing end-to-end data science projects. Transform health insurance fraud analytics capabilities to drive cost savings and influence executive-level decision-making.
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