System Developer

Sanlam; Wes-Kaap; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Sanlam in South Africa is seeking a technically strong professional to maintain and enhance actuarial calculation systems and support critical business processes. You will operate at the intersection of actuarial science, software development, data, and business problem-solving to help modernize and future-proof our technology landscape.

You will develop and maintain actuarial and insurance administration systems, implement changes, and contribute to system modernisation and digital

Qualifications

• Degree or Honours Degree in Computer Science, Information Systems, Actuarial Science, Mathematics, or a related field.
• Experience in financial services actuarial software or related environments.

Responsibilities

• Develop, maintain, and enhance actuarial and insurance administration systems.
• Implement actuarial, product, regulatory and business requirement changes within existing systems.
• Support premium, mortality, valuation, annuity, and policy value calculations.
• Develop and maintain automated actuarial calculation and quotation solutions.
• Perform system testing, validation, reconciliation, and quality assurance activities.
• Analyse and resolve production incidents, defects, and system-related issues.
• Collaborate with actuarial, product, operations, and technology teams to deliver robust solutions.
• Contribute to system modernisation and digital transformation initiatives, including migration from legacy platforms to future-state environments.
• Document business rules, technical specifications, and calculation methodologies.
• Identify opportunities for automation, process optimisation, and operational efficiency improvements.

Skills

Systems development

SDLC experience

Analytical thinking

Stakeholder communication

Education

Degree in CS/IS/Actuarial Science/Math

Tools

Mainframe systems

Data reconciliation tools

Job description

This role is ideally suited to a technically strong professional who enjoys operating at the intersection of actuarial science, software development, data, and business problem-solving. You will be responsible for maintaining and enhancing actuarial calculation systems, supporting critical business processes, and contributing to strategic transformation initiatives as we modernize and future-proof our technology landscape.

Responsibilities

• Develop, maintain, and enhance actuarial and insurance administration systems.
• Implement actuarial, product, regulatory and business requirement changes within existing systems.
• Support premium, mortality, valuation, annuity, and policy value calculations.
• Develop and maintain automated actuarial calculation and quotation solutions.
• Perform system testing, validation, reconciliation, and quality assurance activities.
• Analyse and resolve production incidents, defects, and system-related issues.
• Collaborate with actuarial, product, operations, and technology teams to deliver robust solutions.
• Contribute to system modernisation and digital transformation initiatives, including migration from legacy platforms to future-state environments.
• Document business rules, technical specifications, and calculation methodologies.
• Identify opportunities for automation, process optimisation, and operational efficiency improvements.

Qualifications

• Degree or Honours Degree in Computer Science, Information Systems, Actuarial Science, Mathematics, or a related field.

Required Skills

• Experience in systems development and support within financial services, insurance, actuarial, or related environments.
• Strong analytical, problem-solving, and troubleshooting capability.
• Experience working across the software development lifecycle, including analysis, development, testing, deployment, and support.
• Ability to engage effectively with both technical and business stakeholders.

Preferred Skills

Experience in one or more of the following areas will be advantageous:

• Application and systems development
• Actuarial or insurance administration systems
• Data analysis and reconciliation
• Software testing and quality assurance
• Mainframe and distributed environments
• Batch processing and systems integration
• Process automation and solution design
• Life insurance products and actuarial calculations