Statistical Modeller (George)
Statistical Modeller (George)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Duties & Responsibilities
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 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.
While we would really like to respond to every application should you not be contacted for this position within 10 working days please consider your application unsuccessful.
COMMENTS:
When applying for jobs ensure that you have the minimum job requirements. Only SA Citizens will be considered for this role. If you are not in the mentioned location of any of the jobs please note your relocation plans in all applications for jobs and correspondence. Apply here e-mail a Word copy of your CV to and mention the reference number of the job.
Desired Experience & Qualification
Employment Type
Full-Time
