Job Details

Job Title: strongctuary in Discovery Invest Systems & Analytics Team

Job Level: stronganager/ Divisional Manager

Location:  Sandton head office (3 office days p.w. hybrid working model)           

Business Unit: strongiscovery Invest

Department: strongroduct Development

Type of employment: L648

 

Key Purpose stronghe main purpose of this role isto use data science/ analytics skills strongo enhance retention and distribution strategies, improving business processes, identify product opportunities, assist reviewing product implementation specs and vetting scenarios to ensure products are implemented as designed and that administrative system values are actuarially sound.



Key Output







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

 

• Using data science/ 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

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

Qualifications & ExperienceEssential

• Qualified Fellow Actuary or nearly qualified
• MS Excel – Proficient
• Database experience (SQL)
• Must have experience with statistical software(R and/or Python)

Advantageous

• Data Science qualification/ experience
• Programming experience and understanding. (e.g. VBA)
• Industry experience applying ML models in analytics
• Previous systems work or software testing/ coding experience.
• Invest industry/ financial services 3 – 10 years’ experience

Equity Statement strongreference will be given to applicants from designated groups and suitable internal candidates in line with Discovery’s policies