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Actuarial Analyst

3 months ago


Sandton Discovery Place, South Africa Discovery Full time
Key Purpose

The main purpose of this role is to ensure products are implemented as designed and that administrative system values are actuarially sound, as well as using analytics skills to enhance retention and distribution strategies.

Key Output

The successful applicant will be responsible for but not limited to the following broad job functions:
  • Planning for new products, serving as the link between systems and actuarial & ensuring products are built as required
  • Active involvement in testing the implementation of new products or system changes- Particularly focusing on the accuracy of calculations and validations
  • Analyzing servicing scenarios and identifying possible 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
  • Enhancing retention and distribution strategies using data analytics skills
  • 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
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
Essential
  • MS Excel - Proficient
  • Database experience (SQL)
  • Must have experience with statistical software (R and/or Python)
  • Programming experience and understanding. (e.g. VBA)
Qualifications and Experience
  • Making good progress with actuarial exams and preferably the candidate will have all his/ her CT's (A100/200's for ASSA) or one exam outstanding or recently qualified. Previous systems work or software testing/ coding experience.
  • Invest and/or Life insurance 1 - 5 years' industry experience
  • Previous systems work or software testing/ coding experience
  • Industry experience applying ML/ regression models in analytics
EMPLOYMENT EQUITY

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.