Senior Manager, Health Analytics
Salary undisclosed
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Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
Responsibilities
Responsibilities
- Data Analytics: Utilize advanced analytical techniques to analyze large datasets and extract meaningful insights related to health portfolio e.g. cost drivers, rating factors and customers’ behaviour relating to health plans.
- Actuarial Analysis: Conduct actuarial analysis and modeling to assess risk, estimate reserves, and determine pricing strategies for health takaful products and services.
- Financial Forecasting: Develop financial forecasts and projections based on actuarial models and data analytics, considering factors such as claims experience, enrollment trends, and regulatory changes.
- Risk Assessment: Assess and manage risks associated with health insurance products or healthcare services, including underwriting risk, medical cost risk, and compliance risk.
- Stakeholder Collaboration: Collaborate with cross-functional teams, including underwriting, finance, product development, and regulatory compliance, to support business objectives and deliver valuable insights.
- Regulatory Compliance: Stay up-to-date with industry regulations and ensure compliance with actuarial principles, guidelines, and reporting requirements.
- Strategic Planning: Contribute to the development and implementation of strategic initiatives and business plans, leveraging actuarial and analytical insights to drive growth and profitability.
- Bachelor's degree in Actuarial Science (or similar e.g. in Data Analytics).
- Extensive experience in risk based pricing or predictive/ propensity modelling.
- Strong knowledge of actuarial principles, methodologies, and regulatory requirements.
- Proficiency in data analysis, statistical modeling, and Generalised Linear Models.
- Excellent leadership and team management skills, with the ability to inspire and motivate a team of professionals.
- Strong communication and presentation skills, with the ability to effectively convey complex actuarial and analytical concepts to both technical and non-technical stakeholders.
- Results-oriented mindset with a track record of delivering high-quality work within established deadlines.
- Detail-oriented with exceptional problem-solving and critical-thinking abilities.
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