Statistical Modeller – (George)

Eastern Cape
Permanent
Full-time

10 days ago

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:

Bachelor's or Honours degree in Actuarial Science, Statistics, Data Science, or related quantitative field.
2-4 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 communicator-able to explain complex insights with clarity and precision.
Self-driven, collaborative, and thrives in a fast-paced, high-impact environment.

Datafin

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