Life & Health R&D Manager - Hybrid

Are you passionate about transforming complex mortality and morbidity data into impactful insights? Join us in shaping the future of life and health risk prediction through cutting-edge research and forecasting methodologies. This is your opportunity to drive innovation at the intersection of actuarial and data science, medical research, and insurance.

As an L&H R&D Manager, you'll lead groundbreaking research initiatives that directly impact how we understand, predict and respond to evolving global life and health trends; and how it impacts our business assumptions and decisions we make. You'll collaborate with multidisciplinary teams to translate complex data into impactful insights that inform business decisions and industry perspectives.

• Lead research projects focused on mortality and morbidity risk across diverse populations
• Analyse and interpret complex structured and unstructured datasets to identify meaningful life and health trends
• Develop forecasting models that predict long-term life and health patterns with statistical rigour
• Establish and maintain strategic partnerships with academic institutions and research organizations
• Communicate insights to internal stakeholders and external clients through compelling presentations and reports
• Stay current with emerging medical advancements, technological innovations, and societal shifts affecting life and health outcomes
• Mentor junior researchers and foster a culture of scientific excellence and collaborative inquiry
• Contribute to thought leadership initiatives through publications, conferences, and client engagements

The global L&H Research and Forecasting team provides impactful insights into mortality and morbidity risks. We identify and analyze structured and unstructured datasets throughout the world that provide impactful insights on life and health trends. Such research insights establish the basis for the future prediction of long‑term life and health trends. We provide thought leadership and client services within and outside Swiss Re on key research topics such as medical advancements, technological progress and societal shifts.

We establish effective partnerships and collaborations with universities, data providers and research organizations on a global basis.

You're a curious and analytical thinker who thrives on transforming complex data into meaningful narratives. With your blend of technical expertise, life and health knowledge and business acumen, you can bridge the gap between scientific research and practical applications. You're comfortable working in ambiguity and enjoy collaborating across disciplines to solve challenging problems.

• Qualified actuary with at least 5 years' experience in L&H insurance
• Advanced degree (Master's or PhD) in Mathematics, Statistics, Epidemiology, Biostatistics, Public Health, Data Science, or related field
• Minimum 5 years of experience in life and health research, mortality analysis, or similar analytical roles
• Proven expertise in statistical analysis and data modeling techniques, particularly as applied to life and health outcomes
• Strong programming skills in R, Python, or similar languages for data manipulation and analysis
• Experience communicating complex technical concepts to diverse audiences, including non‑technical stakeholders
• Curious and interest on understanding the drivers of mortality and morbidity risk

• Experience with AI/machine learning applications in life and health forecasting
• Background in health and or medical research
• Publication record in peer‑reviewed journals
• Experience managing research partnerships with academic or industry organizations
• Proficiency in data visualization tools and techniques
• Project management certification or demonstrated experience leading complex research initiatives

The estimated base salary range for this position is $146,000 to $256,000. The specific salary offered for this, or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education,…