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- Tasks: Lead innovative research on mortality and morbidity data to drive impactful insights.
- Company: Join Swiss Re, a global leader in reinsurance and insurance solutions.
- Benefits: Competitive salary, performance bonuses, hybrid work model, and professional development opportunities.
- Why this job: Shape the future of life and health risk prediction with cutting-edge research.
- Qualifications: Qualified actuary with 5+ years in L&H insurance and strong analytical skills.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 92000 - 138000 £ per year.
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.
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 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 analyse 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.
About YouYou'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.
We are looking for candidates who meet these 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
- 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
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week. For England, the base salary range for this position is between GBP 92,000 and GBP 138,000 for a full-time role. The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role; the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience. In the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range. In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based annual bonus.
About Swiss ReSwiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk.
L&H R&D Actuary (Hybrid; M/F/X/D; 80-100 ) in England employer: Crossell
Contact Detail:
Crossell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land L&H R&D Actuary (Hybrid; M/F/X/D; 80-100 ) in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the L&H sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects and research. When you get that interview, having tangible examples will make you stand out.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. This will help you articulate your thoughts clearly and confidently when it counts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace L&H R&D Actuary (Hybrid; M/F/X/D; 80-100 ) in England
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for transforming complex data into insights shine through. We want to see how passionate you are about life and health risk prediction!
Tailor Your CV: Make sure your CV highlights your experience in L&H insurance and research. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your relevant skills and projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your work in mortality analysis or data modelling, and how they relate to the responsibilities outlined in the job description.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Crossell
✨Know Your Data Inside Out
As an L&H R&D Actuary, you'll be dealing with complex mortality and morbidity data. Make sure you brush up on the latest trends and methodologies in this area. Familiarise yourself with recent studies or advancements that could impact your role, and be ready to discuss how you can apply this knowledge to drive innovation.
✨Showcase Your Technical Skills
Highlight your programming skills in R, Python, or any relevant languages during the interview. Be prepared to discuss specific projects where you've used these skills for data manipulation and analysis. This will demonstrate your technical expertise and how it aligns with the company's needs.
✨Communicate Clearly and Confidently
You'll need to convey complex concepts to diverse audiences, so practice explaining your past work in simple terms. Use examples that showcase your ability to translate data into actionable insights. This will help interviewers see your potential to communicate effectively with both technical and non-technical stakeholders.
✨Emphasise Collaboration and Leadership
Since the role involves mentoring junior researchers and collaborating with multidisciplinary teams, share experiences where you've successfully led projects or worked in teams. Highlight your ability to foster a culture of scientific excellence and how you can contribute to the team's success at Swiss Re.
