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Actuary, Assumption Development, R&D Jobs

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Actuary, Assumption Development, R&D
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United Kingdom , London
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Not provided
emerald-group.com Logo
The Emerald Group Ltd, Search and Selection
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Until further notice
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Explore specialized actuarial jobs at the intersection of deep technical analysis and strategic innovation. A career as an Actuary in Assumption Development and R&D represents a highly specialized and intellectually rigorous path within the insurance and financial services sector. Professionals in this field are the architects of the core mathematical and statistical foundations upon which financial products, risk assessments, and long-term business strategies are built. Unlike traditional actuarial roles focused solely on pricing or valuation, this position is centered on Research and Development—pioneering the methodologies that define how companies understand risk. The core mission of an Assumption Development Actuary is to research, develop, and validate the key assumptions used in actuarial models. These assumptions, such as mortality/morbidity rates, policyholder behavior, economic trends, and lapse rates, are critical inputs that determine product profitability, reserve adequacy, and capital requirements. Typical responsibilities involve designing and executing complex experience studies to analyze historical data, identifying emerging trends, and building sophisticated predictive models. A significant part of the role is to bring innovative analytical approaches, often leveraging advanced statistical techniques, to improve the accuracy and robustness of these assumptions. Furthermore, these actuaries provide essential challenge and peer review of assumptions used in other areas like pricing and reserving, ensuring methodological soundness across the organization. To excel in these highly technical jobs, individuals typically need to be qualified or nearly qualified Fellows of a recognized actuarial body, such as the Society of Actuaries or the Institute and Faculty of Actuaries. A deep understanding of life insurance, longevity, or health insurance products is fundamental. The role demands not just actuarial expertise but also strong proficiency in programming languages like R, Python, or SQL for data manipulation and statistical modeling, along with expertise in data science techniques. Key skills include exceptional analytical and critical thinking abilities, meticulous attention to detail, and the capacity to communicate complex technical concepts to both technical and non-technical stakeholders. For those passionate about solving the industry's most complex problems through data and research, Actuary, Assumption Development, R&D jobs offer a career at the forefront of the profession, shaping the future of risk management and financial security.

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