Actuarial Data Scientist
Remote
London, United Kingdom
Full Time
23-04-2025
Job Specifications
You desire impactful work.
You’re RGA ready
RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 500 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.
Position Overview
We’re looking for an individual with strong analytical and coding skills to fill a global role supporting local business teams with data, models, and insight related primarily to mortality improvements.
Candidates should be able to demonstrate a strong working knowledge of mortality and longevity research; the role would suit somebody with prior experience of performing R&D or providing analytical support in an insurance/reinsurance environment but may also be suitable for candidates with relevant experience gained through academic research or similar career paths.
The successful candidate will play a key role in developing and maintaining the codebase required for loading, manipulating, analysing, and visualizing mortality/longevity/improvements data, and a suite of forecasting models developed locally and served to business units across the globe. The global nature of the role means that the right candidate will get exposure to a broad range of teams and projects from across the business and be involved with a diverse range of analytics initiatives.
Responsibilities
Builds and maintains software related to modelling and forecasting mortality rates and future improvements in the markets and geographies in which RGA writes business
Works with stakeholders across the business to help them understand the tools and models that are on offer, and troubleshoot any issues that arise
Writes high quality code in R or Python and understands how to structure what they write such that it is readable, maintainable, and reusable.
Works with a range of stakeholders across the organization to understand their needs and prioritize potential projects
Responds to development requests and bug-fix-requests in a timely manner, and communicates timelines and progress to all relevant stakeholders
Serves tools and insights using a range of modern solutions including launchers and dashboards
Stays abreast of new developments in mortality modelling across different geographies, and explains the benefits of these to stakeholders ahead of implementing any agreed methods
Finds, collates, cleans, and standardizes a range of key datasets from multiple sources and geographies to help with understanding mortality improvements (cause of death, socioeconomic data, etc.).
Conducts ad hoc research into topics related to future mortality improvements, and shares findings with stakeholders across global functions and business units
Education And Experience
Strong undergraduate degree in a STEM subject
Work (or postgraduate research) experience in an analytical role
Experience of demographic/biometric research or assumption setting
Experience of using R or python in a work or research environment
Postgraduate degree
Qualified or part-qualified actuary
Exposure to working in and/or with Actuarial teams in the insurance industry
Skills & Abilities
Ability to manipulate, visualize, and analyze large volumes of data using common data science packages like pandas, seaborn, data tables, ggplot, etc.
Ability to code in R and/or Python; a good high-level understanding of what makes “good” code, willingness to adhere to team coding standards for key pieces of work, and a willingness to help to set or modify those standards.
Fluency in topics related to mortality and longevity research recent mortality trends, excess deaths, competing risks, mortality projection models, etc.
Good understanding of core mortality modelling techniques (GLMs, ARIMAs, smoothing methods)
Strong oral and written communication skills with ability to share knowledge and explain technical topics concisely
Strong investigative, analytical, and problem-solving skills
Basic knowledge of the Life Insurance industry and key products (annuities and assurances)
Experience of common mortality model structures like the Lee Carter and APC models
Driven to improve and continue to develop technical and soft skills
Experience of serving dashboards to business teams
Experience of building R packages
Experience using github
What you can expect from RGA
Gain valuable knowledge from and experience with diverse, caring colleagues around the world.
Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.
Join the bright and creative minds of RGA, and experience vast, endless career potential.
About the Company
Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions that help clients effectively manage risk and optimize capital. Founded in 1973, RGA is today one of the world’s largest and most respected reinsurers and remains guided by a powerful purpose: to make financial protection accessible to all. As a global capabilities and solutions leader, RGA empowers partners through bold innovation, relentless execution, and dedicated client... Know more
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