Full TimeENAfrica
Who are we?
Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consist of the following business units Retail Mass, Corporate, Risk and Savings, Glacier and various business enabling functions. The Sanlam Life and Savings Office provide strategic direction, coordination and support to the four clusters, as well as performing governance oversight that includes assurance provided by second line of defence functions in SLS, to enable us to meet our business objectives.
The experience investigations team is responsible for delivering business insights through retrospectively looking at claims and persistency experience. The team is also one of the few within the broader Sanlam Group to be a custodian of a Business Intelligence (BI) asset. The vision for the team is to fully digitalise our processes, and also to further enable consumption of new age statistical/actuarial techniques to add business value.
The successful candidate will focus primarily on SRM experience investigations and BI work.
Responsibilities will include, amongst others, the following output or core tasks:
• Manage, own and enhance the Experience Investigation reporting process within SRM to deliver valuable insights for the businesses that we serve
• Collaborate to define, create and realise the ideal operating model for actuarial experience investigations in the context of a new business intelligence (BI) platform
• Liaise and engage with stakeholders from Sanlam Group BI to ensure the efficient running of the experience investigations operation model
• Ensure the Experience Investigation operating model delivers business value
• Maintenance of the Experience Investigation model
• Automation and optimisation of legacy processes
• Assist with ad-hoc actuarial analyses on special projects
• Collaborate in the wider SLS teams working on special projects
• Regular engagement with senior management on the performance of the business
• Deliver analytical-, business- or projection models as required from special projects
• Research data science/statistical techniques and their application in an actuarial context
• Good progress with the actuarial exams
•At least 2 years’ experience in the insurance industry
• Python, R, SQL experience or knowledge of advanced analytics
• Keen interest in advanced predictive modelling capabilities
• Comfortable building and implementing statistical forecasting models
• The combination of actuarial and data science experience will be an advantage
• Comfort working with and interrogating big data sets
• Strong operational process focus
• Good verbal and written communication skills
• Good attention to detail
• Good MS Office skills (Word, Excel)
• Ability to work independently and in a team, take initiative and meet deadlines
• Strong analytical and conceptual thinking
• Knowledge seeking/learning orientation
• Cultivates Innovation
• Client Focus
• Drive Results
• Collaborates
• Flexibility and adaptability
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.
Closing date: Tuesday, 19 May 2026
We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.
The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.
