Job Description
Key Responsibilities
- Partner with actuarial and business teams to deliver insights on pricing, reserving, and risk
- Analyse large and complex insurance datasets to identify patterns and opportunities
- Support IFRS 17 reporting with accurate, compliant data pipelines
- Build and optimise predictive models and reporting tools
- Translate complex technical results into clear, actionable insights for decision-makers
Job Experience and Skills Required
- Education: Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Honours/Master’s an advantage)
- Experience: Proven experience within the insurance industry (essential)
- Skills:
- Proficiency in SQL, Python, R, or similar tools
- Understanding of IFRS 17 and insurance data structures
- Strong analytical mindset and communication skills — ability to explain complex data in plain English
Apply now!
For more exciting Finance vacancies, please visit: .za
I also specialise in recruiting in the following:
– Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
– Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
– Risk Analysts (Credit, Market, Model Risk, Operational)
– Pricing Specialists (Insurance, Financial Products)
– Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
– Quantitative Specialists across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
Connect with me on LinkedIn! .za
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