Actuary needed at Discovery Limited

Key Purpose

• The main purpose of this role is to use data analytics skills to enhance retention and distribution strategies, improving business processes, identify product opportunities, assist overviewing product implementation specs and vetting scenarios to ensure products are implemented as designed and that administrative system values are actuarially sound.

Responsibilities and Objectives of this role

The successful applicant will be responsible for but not limited to the following broad job functions:

• Using data analytics skills to optimise business processes, new business volumes and enhance retention and distribution strategies
• Be involved in developing new innovative product ideas and analysing experience to aid the pricing team
• Building MI data visualisation dashboards to help senior management making decisions affecting retention and distribution strategies
• Planning for new products, serving as the link between systems and actuarial & ensuring products are built as required
• Review new product specifications and implementation actuarial vetting scenarios
• Analyzing servicing scenarios and identifying possible system constraints on product design
• Ongoing involvement in addressing individual policy queries and issues
• Assisting with ad-hoc investigations and analyses including quantifying the financial impact of possible misalignment of actuarial specification and system implementation
• Applying actuarial knowledge to solve non-standard problems

Required Competencies

• Self-starter able to show initiative and drive projects to completion with guidance.
• Applying Expertise and Technology
• Analysing
• Creating and Innovating
• Working with People

Education and Experience

Essential

• Qualified Fellow Actuary
• MS Excel – Proficient
• Database experience (SQL)
• Must have experience with statistical software (R and/or Python)
• Programming experience and understanding. (e.g. VBA)

Advantageous

• Industry experiences applying ML/ regression models in analytics
• Previous systems work or software testing/ coding experience.
• Invest and/or Life insurance 3 – 10 years’ industry experience