Develop and implement strategies for embedding advanced data analytics and AI into underwriting processes
Identify and evaluate data sources to enhance long-term mortality and morbidity predictions
Collaborate with data scientists and actuarial teams to develop predictive models and algorithms
Analyze complex data sets to uncover patterns and insights to provide meaningful narratives and strategic recommendations that can simplify and improve the underwriting process
Research and assess platform providers capable of capturing and integrating health and behavior data to direct the underwriting process
Collaborate with operations, pricing, risk, proposition marketing, and distribution teams to drive project success
Work with IT and engineering teams to ensure seamless implementation and data flow
Innovate based on product and customer needs, synthesizing requests and feedback across key stakeholders to develop advancements in underwriting
Engage with external parties to stay abreast of market trends, customer needs, and competitor offerings

Proven expertise in life and health insurance, with strong operational and analytical capabilities
Demonstrated success in leading change management and transformation initiatives
Strategic thinker with the ability to lead cross-functional teams and drive organizational alignment
Skilled in anticipating business needs and translating strategy into actionable plans and capabilities
Excellent interpersonal and communication skills; fluent in English
Strong negotiation and influencing abilities, with a track record of building effective internal and external partnerships
Minimum 15 years of relevant experience, including reinsurance and insurance underwriting & operations
Bachelor’s degree required; advanced degree preferred

Asia Underwriting Data Insights Lead

Key skills