Actuarial Analyst

What will you do?

This role exists to support the delivery of actuarial projects aimed at improving operational efficiency within Claims, Telematics, and Procurement. The successful candidate will perform detailed data analysis, develop technical models, and assist in the creation of reporting tools that enable effective decision-making and operational improvements. This position offers a strong foundation for actuarial development in a dynamic, business-focused environment.

What will make you successful in this role?

Key Responsibilities

Data Analysis and Technical Support
•    Extract, clean, and analyse large datasets from various operational and external sources to support efficiency initiatives.
•    Develop and maintain actuarial models, including GLMs and other statistical techniques.
•    Assist in automating routine reporting tasks and updating management dashboards.
Operational Reporting and Monitoring
•    Build and update operational KPI reports and performance tracking tools across Claims, Telematics, and Procurement.
•    Support the design and rollout of automated reporting solutions to improve data accessibility and timeliness.
Project Delivery Support
•    Work closely with the Actuarial Assistant Manager and cross-functional teams to deliver projects focused on cost optimisation and operational improvements.
•    Document analysis, findings, and recommendations clearly and effectively for stakeholders.
•    Help coordinate data and information flows between actuarial, operational, and external teams.
Technical Development and Learning
•    Stay up to date with emerging actuarial techniques and operational best practices.
•    Participate in continuous learning and contribute to process improvements.
Stakeholder Collaboration
•    Assist in managing internal and external data provider relationships by providing timely analysis and updates.
•    Support communication with operational teams to ensure alignment and clarity of project objectives.

Key Skills and Attributes

•    Strong analytical skills with attention to detail and data integrity.
•    Ability to apply statistical and actuarial methods to real-world operational challenges.
•    Good programming skills, particularly in SQL and R; Python knowledge is a plus.
•    Effective verbal and written communication skills; able to present complex data simply.
•    Eagerness to learn and develop actuarial and business skills.
•    Team player with a proactive, self-motivated attitude.
•    Comfortable working in a dynamic, cross-functional environment with competing priorities.
•    Familiarity with data visualization tools and reporting dashboards

Qualifications and Experience

•    Bachelor’s degree in Actuarial Science.
•    At least 2 years of actuarial experience, preferably within short-term insurance.
•    Exposure to GLMs, statistical modelling, and data analytics is required.
•    Familiarity with short-term insurance concepts and operational processes preferred but not essential.
•    Experience working with data extraction and transformation using SQL preferred.

Software and Technical Tools

•    SQL (SQL Server and/or Oracle) – required
•    R and R Shiny – required
•    Python – advantageous
•    Excel with advanced formula and pivot table skills – required
•    Familiarity with data visualization tools and reporting dashboards – advantageous

Knowledge and Skills

Personal Attributes

Build a successful career with us

We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping  our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Core Competencies

Turnaround time

The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers. Deadline to apply: 24 October 2025.

Our commitment to transformation