Job Description

Job Summary
Statistical Modeller - (George) Other
Eastern Cape - South Africa
ENVIRONMENT:
Are you passionate about data, analytics, and transforming how risk is understood in insurance? Do you thrive at the intersection of statistics, technology, and real-world decision-making? Our client is leveraging cutting-edge telematics data to redefine how driving behaviour and risk are evaluated and is seeking a forward-thinking Statistical Modeller to join their dynamic, data-driven team and help shape the future of smart insurance. In this role, you will design predictive tools and frameworks that support data-driven decision-making, analyse telematics and insurance datasets to uncover meaningful trends, build and validate robust statistical and machine learning models, and contribute directly to pricing, product design, and risk assessment strategies.
DUTIES:

• Develop and enhance telematics-based scoring models to evaluate driver behaviour and risk profiles.
• Conduct deep statistical analysis on large insurance and telematics datasets to identify trends and risk signals.
• Build predictive models for pricing, claims forecasting, and behavioural insights.
• Collaborate with cross-functional teams to ensure model outputs drive effective product and business strategies.
• Improve driver risk indicators (e.g., claim probabilities, first notice of loss accuracy, behavioural flags).
• Present complex analyses and modelling results in a clear and compelling way to technical and non-technical stakeholders.

REQUIREMENTS:
Education & Experience:

• Bachelors or Honours degree in Actuarial Science, Statistics, Data Science, or related quantitative field.
• 24 years of experience in statistical modelling, actuarial analytics, or insurance data.
• Previous work in motor insurance or telematics-driven roles is a strong advantage.

Technical & Analytical Skills:

• Advanced knowledge of statistical modelling techniques (e.g., GLMs, correlation studies, distribution analysis).
• Proficiency in Excel, R, SAS, or similar actuarial/statistical tools.
• Experience working with SQL and large-scale datasets.
• Python skills are a bonus but not required.

ATTRIBUTES:

• Strong analytical thinker with a solid grasp of behavioural data and risk modelling.
• Excellent communicatorable to explain complex insights with clarity and precision.
• Self-driven, collaborative, and thrives in a fast-paced, high-impact environment.

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Datafin
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