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Actuary

$146k - $256k

Swiss Re

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. Key Responsibilities 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 organisations. 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. About the Team The global Life & Health Research and Forecasting team provides impactful insights into mortality and morbidity risks. We analyze structured and unstructured datasets worldwide to establish the basis for future prediction of long‑term life and health trends, and we offer thought leadership and client services on key research topics such as medical advancements, technological progress and societal shifts. About You 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. Requirements 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 modelling 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. Curiosity and interest in understanding the drivers of mortality and morbidity risk. Nice to Haves 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 organisations. Proficiency in data visualisation tools and techniques. Project management certification or demonstrated experience leading complex research initiatives. Compensation and Benefits The estimated base salary range for this position is $146,000 to $256,000. The specific salary offered will consider factors such as job location, scope of role, qualifications, complexity/specialisation/scarcity of talent, and experience. Location and Eligibility This role operates under a hybrid work model, with an expectation of being in the office three days per week. The position is not eligible for relocation support or for any support with work visa authorisation/transfers. Equal Opportunity Statement We are an equal opportunity employer. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. #J-18808-Ljbffr

Vacancy posted 18 hours ago
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