Project Overview

Our client, a leading short-term insurer, is seeking an Actuarial Analyst to join its Pricing and Modelling team in Cape Town. The successful consultant will support the development and enhancement of pricing models, predictive analytics, and actuarial modelling capabilities, helping the business build more personalised and data-driven pricing solutions.

This role combines traditional actuarial work, including pricing and risk modelling, with modern analytical techniques such as machine learning and predictive modelling. The consultant will work closely with underwriting, risk, and business stakeholders to deliver insights that support strategic decision-making and improve pricing performance.

The ideal consultant will have at least three years of experience within short-term insurance, strong Python capabilities, and exposure to pricing models.

While actuarial exam progress is preferred, the client is open to candidates who bring strong pricing and modelling experience, even if they are not fully qualified actuaries.

Key Activities

• Support the development, enhancement, and maintenance of pricing and actuarial models.
• Collect, clean, and prepare data from multiple sources using Python and SQL.
• Analyse large datasets using statistical modelling and machine learning techniques.
• Build, test, deploy, and maintain predictive models and pricing solutions.
• Support underwriting risk management, pricing optimisation, and risk segmentation initiatives.
• Conduct ad hoc investigations and data analysis to support business decisions.
• Develop and maintain reporting and visualisation solutions using Power BI.
• Identify opportunities to automate processes and improve modelling efficiency.
• Communicate technical findings and recommendations to both technical and non-technical stakeholders.
• Support the ongoing evolution of personalised pricing models and advanced analytical capabilities.
• Contribute to the enhancement of risk systems, reporting processes, and actuarial methodologies.

Your Background

Essential

• Minimum 3 years' experience within the short-term insurance industry.
• Experience within pricing, actuarial modelling, predictive analytics, or related actuarial functions.
• Strong Python skills, including data analysis, automation, and modelling.
• Strong SQL skills and experience working with large datasets.
• Degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related discipline.
• Progress towards actuarial qualifications, including A100 and A200 examinations, or equivalent.
• Strong analytical, statistical, and problem-solving capabilities.
• Ability to work independently and manage multiple priorities.
• Excellent communication and stakeholder engagement skills.

Desirable

• Exposure to short-term insurance pricing models.
• Experience with machine learning techniques such as GLMs, decision trees, clustering, or neural networks.
• Experience developing dashboards and reporting solutions using Power BI.
• Experience building personalised pricing models.
• Knowledge of underwriting, risk segmentation, and insurance product development.
• Experience improving automation, reporting, and risk management processes.
• Strong commercial understanding of the short-term insurance industry.

Location

• Cape Town (Tyger Valley)
• Hybrid working model with approximately 2–3 days per week in office preferred.