Senior Research Analyst/Actuary, Longevity Research

As a key member of the Longevity Research Team, you will be owning aspects of the development and maintenance of SCOR’s mortality and demographic assumptions, enhancing SCOR’s ability to write profitable new business. The team has global responsibility for Longevity business so you will have the opportunity to work on business originating from outside the UK.

Your work could involve:

• Updating mortality trends for multiple countries to support new business
• The use of machine learning techniques to model mortality rates
• Setting assumptions for medically underwritten annuities
• Designing innovative new products for entry into global markets
• The documentation and presentation of your work to senior stakeholders

You will establish strong working relationships with SCOR colleagues both within and outside the Longevity Team, clients and industry contacts.

SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values:

• We care about clients, people, and societies.
• We perform with integrity.
• We act with courage.
• We encourage open minds.
• We thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Essential:

• Keen interest in longevity research.
• Experience of working both within a team and as a self-motivated individual.
• Ability to lead on smaller research projects with minimal oversight, proactively seeking help from experienced colleagues where required.
• Ability to quickly extract key information from demographic research papers.
• Proven ability to deliver and meet deadlines.

Desirable:

• Prior experience of demographic research in the insurance/reinsurance sector, either in a longevity or protection setting.
• R programming experience.

Personal Competencies:

• Excellent analytical skills
• Self-motivation
• Customer focus
• Teamwork
• Attention to detail
• Excellent communication and interpersonal skills

Required Education:

• Nearly qualified/qualified actuary OR several years of experience within an actuarial/statistical team.
• A few years of experience in a demographic assumptions or pricing team (longevity or protection).
• Educated to degree level or equivalent with excellent academic track record.

Research:

• Deliver and maintain pricing bases and tools which enable SCOR to write profitable new business in existing territories, and to expand its global product offering in new territories.
• Demonstrate a clear understanding of how to apply research methods in a commercial context, utilising the 80/20 rule to deliver work quickly.
• Identify and analyse suitable internal and external data sources for research projects, such as academic research papers and statistical datasets, obtaining maximum value from available information.
• Contribute ideas for innovation of bases and help plan the research activities of the Longevity Team.
• Produce concise and clear technical documentation and present work to senior stakeholders.
• Keep abreast of major developments in the longevity research field and the global longevity market.
• Attend external seminars and webinars where relevant, and present learnings back to the wider longevity team.
• Ensure pricing bases conform with SCOR pricing guidelines and that key pricing issues/risks are highlighted early.

Relationships:

• Demonstrate strong collaboration skills, utilising tools such as brainstorming sessions and the team meeting to understand different approaches to reach the end goal.
• Collaborate with the Longevity Pricing team, ensuring research bases are implemented appropriately.
• Develop a strong network of relationships with SCOR colleagues outside the Longevity Team, particularly the Biometric Team in Paris.
• Promote the Longevity Research Team’s technical expertise, through knowledge shares with the wider Longevity Team and where appropriate across the SCOR Life Team.