Swiss Re

Life & Health R&D Manager

Swiss Re

full-time

Posted on:

Location Type: Hybrid

Location: ZurichSwitzerland

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Salary

💰 CHF 132,000 - CHF 198,000 per year

Tech Stack

About the role

  • 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

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 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 (nice to haves)
  • Background in health and or medical research (nice to haves)
  • Publication record in peer-reviewed journals (nice to haves)
  • Experience managing research partnerships with academic or industry organizations (nice to haves)
  • Proficiency in data visualization tools and techniques (nice to haves)
  • Project management certification or demonstrated experience leading complex research initiatives (nice to haves)
Benefits
  • performance-based annual bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
statistical analysisdata modelingRPythondata manipulationdata visualizationAI applicationsmachine learningmortality analysishealth research
Soft skills
communicationmentoringcollaborationcuriositypresentation skillsanalytical thinkingleadershipstrategic partnership developmentscientific excellenceclient engagement
Certifications
project management certification