Life & Health R&D Manager (Hybrid; m/f/x/d; 80-100%)

Crossell; Greater London; Hybrid; GBP 123,000 - 185,000; Full time

Job summary

A leading insurance firm in London seeks an L&H R&D Manager to lead research on mortality and morbidity trends. This role involves analyzing complex datasets, developing forecasting models, and collaborating with academic partners. Ideal candidates will have a strong actuarial background, experience in health research, and proficiency in R or Python. You will mentor junior researchers and communicate insights to stakeholders, contributing to innovative solutions in the life and health sector. A hybrid work model is offered, with a competitive salary package.

Qualifications

• Qualified actuary with at least 5 years' experience in L&H insurance.
• Minimum 5 years of experience in life and health research.
• Strong programming skills in R, Python or similar languages.

Responsibilities

• Lead research projects on mortality and morbidity risk.
• Analyze structured and unstructured datasets for trends.
• Develop forecasting models for long-term health patterns.

Skills

Statistical analysis

Data modeling techniques

Programming in R

Programming in Python

Communication of technical concepts

Education

Advanced degree in Mathematics, Statistics, Epidemiology or related field

Qualified actuary

Tools

Data visualization tools

Job description

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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.

About the Role

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

About the Team

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.

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 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 interested 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 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 Switzerland, the base salary range for this position is between 132 000 CHF and 198 000 CHF 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 Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance‑based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting‑edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14 000 employees across the world.

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. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords: Accounting, Actuarial, R&D, Statistics, Data Modeler, Finance, Insurance, Research, Data

Reference Code: 136458

Job Segment: Accounting, Actuarial, R&D, Statistics, Data Modeler, Finance, Insurance, Research, Data