Research and Development Actuary

at  RGA

Position Overview
An exciting opportunity has arisen for an experienced Senior Actuary to join RGA’s Research and Development team. Reporting to the Head of Actuarial Research and Development, this broad role is primarily responsible for setting and maintaining the pricing basis for all key product lines as well as providing actuarial research on emerging trends. This role provides input on a wide range of retail life insurance risk products including mortality, disability and critical illness.

Responsibilities

• The primary role is the development and documentation of pricing bases for a wide range of products, such as mortality, disability and critical illness.
• Conducting technical actuarial research that supports the Business Development team, the Pricing team and raises the profile of RGA’s research capabilities.
• Collaborate with the Global Data Analytics and Global Experience Studies teams to ensure the South African office has access to appropriate tools and expertise.
• Develop and enhance statistical models for the applications in insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc. for use internally or externally.
• Provide internal and external clients with an expert review on vendor and/or client-generated models.
• Regularly derive value adding business insights from RGA’s various data sources.
• Assist in developing and maintaining the infrastructure (dashboards, scripts, and data pipelines) used to monitor emerging experience.
• When presented with specialist datasets, carry out the full spectrum of data analysis, from the development of statistical analysis plans and design of the database schema, through data cleansing and into the creation of new insights and knowledge based on thorough and deep statistical analysis of the data.
• Provide subject matter expertise in the insurance application of predictive modeling and advanced data analytics.

REQUIREMENTS

• Qualified Actuary
• 4+ years of actuarial experience
• Experience in developing pricing or valuations bases for life insurance risk products.
• Ability to work with large datasets using SQL, R and Python.
• Experience with data visualization systems such as Tableau and Power BI.
• Experience building automated large data pipelines for repetitive tasks.
• Experience using advanced statistical modelling techniques such as Generalized Linear Modelling.
• Knowledge of risk products in the South African market.
• Strong investigative, analytical, and problem-solving skills.
• Flexibility and ability to adapt to a changing environment.
• Innovative, proactive and improvement oriented.
• Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions.
• Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives.
• Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received.
• Strong ability to handle multiple projects simultaneously.
• Ability to resolve conflict and foster teamwork.
  Job Reference: SA0038

• The primary role is the development and documentation of pricing bases for a wide range of products, such as mortality, disability and critical illness.
• Conducting technical actuarial research that supports the Business Development team, the Pricing team and raises the profile of RGA’s research capabilities.
• Collaborate with the Global Data Analytics and Global Experience Studies teams to ensure the South African office has access to appropriate tools and expertise.
• Develop and enhance statistical models for the applications in insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc. for use internally or externally.
• Provide internal and external clients with an expert review on vendor and/or client-generated models.
• Regularly derive value adding business insights from RGA’s various data sources.
• Assist in developing and maintaining the infrastructure (dashboards, scripts, and data pipelines) used to monitor emerging experience.
• When presented with specialist datasets, carry out the full spectrum of data analysis, from the development of statistical analysis plans and design of the database schema, through data cleansing and into the creation of new insights and knowledge based on thorough and deep statistical analysis of the data.
• Provide subject matter expertise in the insurance application of predictive modeling and advanced data analytics