- Masters degree or higher in Data Science, Actuarial Science, Statistics, Computer Science, Mathematics, or a related field. Actuary (AMASSA/FASSA), Statistician or Data Scientist will be advantageous but not necessary.
- 7-10 years Actuarial Science, Data Science, Machine Learning, Analytics, Mathematical Statistics, Computer Science or Business Intelligence experience within data management and analytics (actuarial, statistics, etc.).
- Knowledge of Actuarial Software (e.g. Prophet, Moses, Basys) or Programme/Database (e.g. SQL, PowerBI, QlikView, SAS, R, Python, Tableau, or similar)
- Machine Learning - or Artificial Intelligence Governance
- Advanced Microsoft Office
- Predictive Analytics, Pricing Methodologies and/or Machine Learning
- Statistical/Actuarial models and Analytical Methods
- Database and Querying
- Familiarity with data privacy regulations (e.g. GDPR, POPIA, AML)
- Proficiency in data-related technologies and tools (e.g. data lakes, data warehouses, data visualization, machine learning)
- Actuarial Methodologies - Knowledge and understanding of the principles, regulations and legislation pertaining to acceptable actuarial policies, models, methodologies and processes
- Relevant legislation applicable to insurance companies such as the Insurance Act of
- 2017 and associated Prudential Standards Financial Soundness for Insurers as well as International Financial Reporting Standards (IFR17)
- Ability to understand Financial Statements, Accounting Ratios and Risk Metrics
However, please keep a lookout on our website, www.sixsense.co.za for available positions which may be inline with your career aspirations.