Data Scientist

• Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets.
• Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes.
• Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions.
• Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards
• Communicate with a variety of stakeholders at various levels of seniority
• Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies
• Adhere to professional standards, best practices, and ethical guidelines
• Understand the strengths and limitations of a modeling approach
• Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines
• Stay abreast of new techniques, but focusing on practical applications
• Liaise with RGA's data scientists across the globe about more sophisticated data science applications
• Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach

Senior Data Scientist

Associate Data Science Actuary

Principal Data Scientist

A&A Data Scientist/Analyst – AI, Automations

Associate Data Science Actuary