Job Description

Who are we?
Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of the following business units Retail Mass, Corporate, Risk and Savings, Glacier and various business enabling functions. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the four clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives.
Role Description
Sanlam Business Intelligence (SBI) is looking for an actuarial consultant with a hybrid skillset across actuarial and data science to join our growing Actuarial Analytics team. The Actuarial Analytics function fosters an environment of continuous learning and growth for actuaries, specialising in machine learning and artificial intelligence, to shape the next generation of "AI-enhanced" actuaries. The capability focuses on innovating traditional and legacy actuarial practices through the evolving field of machine learning & AI. This will enable Sanlam to create and optimize business value through the intersection of actuarial and data science.
What will you do?
Key Responsibilities:

• Integrating advanced analytics, machine learning, and emerging technologies into traditional actuarial practices, while ensuring that our actuarial analytics strategies align with both business objectives and regulatory requirements.
• Collaborating with Business Intelligence and Data Science teams, offering a unique perspective as "AI-enhanced" actuaries in analytics projects across multiple domains including but not limited to underwriting, pricing, reserving, product design, sales campaigns, and client retention
• Supporting the evaluation and quantification of the impact and value generated by data products and analytics models created by the wider Business Intelligence teams.
• Collaborating closely with our Actuarial, Data Science and Business Intelligence teams as well as the wider business to explore and scale the integration of analytics
• Research and adoption of new technologies and cutting-edge methodologies in actuarial practices, including but not limited to machine learning, data science, and predictive analytics.
• Collaborate with diverse teams, presenting analytical insights and strategic recommendations to enhance data-driven decision-making processes across the organization.
• Stay abreast of industry trends and advancements in actuarial science and analytics to maintain competitive advantage.

What will make you successful in this role?
Qualifications:

• Newly/Nearly qualified actuary or Actuarial student making good progress with actuarial exams having passed A311.
• Bachelor's and/or Master's degree in data science, mathematical statistics, computer science or related field would be advantageous.

Experience and skills:

• Strong background in actuarial work (preferably in the life insurance industry), data analytics, statistical modelling, and the application of machine learning in actuarial contexts.
• Forward-thinking, with a passion for leveraging technology to solve traditional challenges.

• Experience querying databases and using statistical computer languages when managing data (e.g. R, Python, SQL, etc.) with Cloud experience (Snowflake, AWS, Azure, etc.) being advantageous.
• Strong communication and presentation skills, capable of conveying complex information to non-specialists
• Growth mindset, with a passion for continuous improvement and innovation

Personal Attributes
Self-development - Contributing independently
Interpersonal savvy - Contributing independently
Nimble learning - Contributing independently
Tech savvy - Contributing independently
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
Cultivates innovation - Contributing independently
Customer focus - Contributing independently
Drives results - Contributing independently
Collaborates - Contributing independently
Being resilient - Contributing independently
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.
Closing date: 20 October 2025
Our commitment to transformation
The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.

Skills Required