Duties: Support of analysis and assessment of life and health reinsurance portfolios for the purposes of risk management, experience study, planning and quotation using advanced analytic techniques; Internal and external research relating to pricing, products, underwriting, claims, and other areas related to life insurance; Understanding data and applying modern analytical techniques to the data; Implementing practical changes based on research and analytics in various areas of business; Supporting large research projects and surveys; Presentations and training measures for clients; Marketing activities, including giving presentations at conferences and writing articles; This is not only a South African role and responsibilities includes supporting business and clients in Australia, United Kingdom and Canada. It also means working with colleagues from the United States, Germany, and other countries
Requirements: We are looking for top applicants that are qualified Actuaries. Applicants with experience in applying statistical and machine learning techniques in financial services or related business to solve problems in practical and implementable ways will be preferred. Experience with researching and assessing the business relevant impact of external trends is also important

Duties: You will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients. You’ll dive into complex data sets across a rich variety of industries, functions and geographies while remaining a core member of the strategy team, injecting your analytics thinking on meaningful client projects. You will shape solutions tailored to the needs of our clients, maximizing programming languages (e.g., R, Python), tech platforms, and disruptive analytics methodologies (e.g., Casual Inference, Bayesian Optimization, Geospatial Analytics, Natural Language Processing) as part of our tech-agnostic firm
Requirements: Bachelor’s degree in quantitative field like computer science, engineering, statistics, mathematics or related field required; advanced degree is a plus; Programming (focus on machine learning) in Python (must), SPSS, SAS, Ruby, Hadoop (valued); 3+ years of hands-on mathematical modelling experience in business environment

Duties: Pricing support in all types of business; Support with tenders from existing and new clients; Process reviews for actuarial pricing and monitoring; Pricing reviews on existing business; Review and assist with the development of Terms of Trade
Requirements: Qualified actuary with a minimum of 5-year experience; Reinsurance pricing experience would be advantageous; Prepared to work across multiple time zones; Prepared to spend time outside of their home country as the role involves global travel

Duties: Develop, maintain, and execute an efficient and effective basis of a development framework for RGA's key product; Perform technical and strategic actuarial research that supports various internal clients and elevates RGA's research capabilities; Collaborate with the In-Force Management function to understand the emerging performance of the deals on the books and recommend appropriate strategic actions; Collaborate with the Global Data Analytics and Global Experience Studies' teams to ensure the South African office has access to appropriate tools and expertise; Collaborate with the regional pricing actuary to ensure basis development proposals are well considered; Participate in RGA's various global research forums and collaborate with peers to ensure continuous sharing of experience; Regularly derive value adding business insights from RGA's various data sources
Requirements: Experienced, qualified Actuary with at least 15 years of life insurance; Experience in developing pricing or valuations basis for life insurance risk products; A sound actuarial knowledge base in pricing and product; Ability to work with large datasets using SQL, R and Python; Experience with data visualization systems such as Tableau and Power Bl; Experience building automated large data pipelines for repetitive; Experience using advanced statistical modelling techniques such as Generalized Linear Modelling

Duties: Support of analysis and assessment of life and health reinsurance portfolios for the purposes of risk management, experience study, planning and quotation using advanced analytic techniques; Internal and external research relating to pricing, products, underwriting, claims, and other areas related to life insurance, including evaluating and understanding emergent risks affecting life insurance industry; Providing practical and commercial data driven insights internally and externally; Leading large research projects and surveys; Creating presentations and developing training and presenting these internally and externally; Marketing activities, including giving presentations at conferences and writing articles
Requirements: We are looking for top applicants that are qualified Actuaries with at least 10 years of experience in pricing and assumptions setting and associated research work. Applicants with experience in applying statistical and machine learning techniques in financial services or related business to solve problems in practical and implementable ways will be preferred