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  • Posted: Apr 10, 2026
    Deadline: Apr 30, 2026
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  • At Guardrisk we have only one purpose: To be of service to our clients. Our Vision: To provide value-added and cost-effective insurance and alternative risk transfer solutions. To employ professionals with a passionate commitment to service excellence. To network internationally and forge world-class partnerships. Our Values: We hold ourselves accountable...
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    Head of Reinsurance (Life)

    Role Purpose    

    • Implementing strategic initiatives, making strategic recommendations, managing treaty placements and ensuring governance and compliance.

    Requirements    

    • Degree in Actuarial Science, Finance or related field.
    • Qualified Actuary or equivalent qualification will be advantageous.
    • Extensive knowledge of reinsurance arrangements (treaty and facultative) and structures (quota share, surplus, excess of loss etc).
    • At least 7 years relevant working experience in the life insurance/reinsurance industry.

    Duties & Responsibilities    

    • Lead negotiations for reinsurance treaties and risk sharing arrangements, including structuring, pricing and terms.
    • Act as senior contributor to the execution of company reinsurance strategy in alignment with business objectives and risks appetite.
    • Advice executive management on reinsurance structures, market conditions, and risk transfer options.
    • Perform experience and other investigations on the reinsurance and risk sharing portfolios and making sound risk and profitability management recommendations.
    • Understand clients’ needs and their priorities and ensuring that their needs are met.
    • Contributing to technical reinsurance management, including monthly reporting on reinsurance arrangements and interpretation and application of reinsurance and risk sharing agreements.
    • Build and maintain strong relationship with reinsurers and clients.
    • Collaborate with internal stakeholders (actuarial, underwriting and claims, finance, legal, compliance, risk) and reinsurers to ensure effective communication and execution of reinsurance arrangements.
    • Enforce policies, procedures and controls relating to reinsurance activities.
    • Manage the performance and development of direct reports.
    • Cover operations in South Africa and Mauritius.

    Competencies    

    • Excellent negotiation and relationship management skills.
    • Strong analytical, financial, and actuarial modelling skills.
    • Strategic thinker with the ability to balance risk, growth and cost.
    • Team management and stakeholder engagement abilities.
    • High integrity and decision-making skills.

    Deadline:30th April,2026

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    Head: Actuarial Assumption & Model Development Validation

    Role Purpose    

    • To provide independent review and validation of actuarial assumptions, IFRS 17 and SAM basis setting, Prophet and ResQ model development for both IFRS 17 and SAM and other ad-hoc activities across the first-line Balance Sheet Management functions.

    Requirements    
    Qualifications

    • Fellow of the Actuarial Society of South Africa (with Life Fellowship preferable)
    • Preferable – Life practicing certificate

    Experience

    • Minimum 10 years post-qualification actuarial experience, with at least 5 years in a senior validation, modelling, or assumption governance role.

    Knowledge

    • Advanced understanding of Life valuations across both IFRS 17 and SAM
    • Core Prophet model development capability
    • Advanced understanding of IFRS 17 and SAM standards
    • Advanced understanding of financial reinsurance mechanics

    Duties & Responsibilities    
    Responsibilities, work outputs and individual contribution

    Assumption and Model Reviews

    • Prepare assumption review and model development review workplans
    • Review actuarial assumptions (e.g., Lapses, Mortality, Expenses etc.) used in long contract boundary models
    • Review and pressure test contract boundary assumptions across both IFRS 17 and SAM.

    Modelling and Validation

    • Review and validate gross and financial reinsurance Prophet modelling and associated output (existing and new models) on a SAM and IFRS 17 basis, including ORSA projections
    • Review IBNR triangulation

    Results and Reporting

    • Provide high-level review of IFRS 17 and SAM Annual results
    • Document and communicate output of reviews and validations to Balance Sheet Management Functions and broader stakeholders

    Governance & Oversight

    • Work with outsourced Head of Actuarial Function to provide comfort on validations performed and output thereof, feeding into Head of Actuarial Function review processes.

    Competencies    

    • Developing Strategies: Are comfortable leading people; coordinates and directs groups; seeks to control things.
    • Examining information: Analyses and processes information; asks probing questions; strives to find solutions to problems.
    • Interpreting Data: Interprets data rationally by quantifying issues; applies technology as a means to evaluating data; evaluates information objectively
    • Providing Insights: Is focused on continuously improving things; provides insights by identifying key issues; makes intuitive judgements.

    Deadline:30th April,2026

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    Actuarial Pricing Specialist

    Role Purpose    

    • The Structuring and Solutions team forms the key point of contact between the different segments and the technical support areas, focusing on client service and client solution development. This role forms part of a diverse team that includes experienced Data scientists, Actuarial analysts and Qualified Actuaries. This position will be to assist with pricing, product development and providing insights to the Guardrisk General Insurance (“GGI”) business. The GGI business is a strategic aspect of the Guardrisk Insurance business as it forms Guardrisk’s own risk-taking segment of the business. The role will providing technical support in the form of pricing, product review and development of new and existing business for this business.

    Requirements    

    • An Actuarial or bachelor’s degree with mathematics or statistics as majors.
    • Associate Actuary or making good progress with Associate level exams.
    • 5 years' relevant work experience.
    • Modelling experience.
    • Coding knowledge in SQL, Python and R advantageous.
    • Knowledge of insurance products, contracts and relevant industry legislations.
    • Sound numerical skills and computer literacy is essential especially in the use of MS Excel, MS Word and SQL.
    • Skills / Experience in extraction would be advantageous.

    Duties & Responsibilities    

    • Take accountability for all product development and pricing frameworks.
    • Coordination with IT, underwriters, claims teams and product owners to develop holistic understandings of various products and processes within the space.
    • Lead rate reviews and re-pricing exercises for the existing product suite to maintain technical soundness and market competitiveness.
    • Oversee the assessment and approval of new product offerings, ensuring they are commercially viable and compliant.
    • Review and ensure the accuracy of fellow team members' work.
    • Provide guidance to junior actuarial analysts.
    • Improve tools and processes that monitor the accuracy of policy values.
    • Investigate, quantify and explain any deviations and advise on corrective measures.
    • Ensure that all projects to be implemented adhere to audit and risk management requirements.
    • Collaboration with external business support to define and develop the pricing models and processes.
    • Support clients in the design and development of bespoke products, with a focus on innovation, profitability, and sustainability.
    • Manage financial performance reporting, including monitoring product profitability and adherence to best-practice actuarial standards.
    • Act as a senior technical advisor to both management and external stakeholders, translating complex actuarial insights into actionable business decisions. 

    Competencies    

    • Ability to examine and interpret data and provide insights.
    • Strong technical expertise.
    • Achievement orientation.
    • Effectively manage time and ensure optimal productivity.
    • Excellent analytical and communication skills.
    • Results and solution focused.
    • High degree of self-motivation and the ability to work independent of supervision.
    • Naturally inquisitive mind set, with a strong innovative tendency.
    • Self Confidence.
    • Flexibility to cope with pressure and setbacks.
    • Delivering results and meeting expectations.

    Deadline:15th April,2026

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    Data Scientist

    Role Purpose    

    • The primary purpose of this role is to develop advanced analytics solutions, machine learning models, and scalable data tools that support Guardrisk Life’s strategic and client-facing analytics initiatives.
    • The role forms part of the Data Analytics Life team within the Guardrisk Life Structuring & Solutions division and focuses on unlocking business value through intelligent use of data. This includes building analytical frameworks, developing predictive models, and creating automated reporting and data solutions that enable better decision-making across the business.
    • The successful candidate will work closely with internal stakeholders and Guardrisk Life clients to identify analytics opportunities, solve complex business problems, and translate large datasets into clear, actionable insights.
    • The role requires strong technical capability in SQL, Python, and business intelligence tools such as Power BI, along with an analytical mindset and the ability to operate independently in a dynamic and evolving environment.

    Requirements    
    Qualifications

    • Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field.Postgraduate qualification in a relevant field advantageous.

    Experience

    • 3-6 years of experience in data science, data analytics, or data engineering within a commercial or financial services environment.Working with large datasets in SQL and Python.Business intelligence tools such as Power BI.Delivering analytical insights to both technical and non-technical stakeholders.Applying machine learning techniques advantageous.

    Duties & Responsibilities    
    Advanced Analytics & Machine Learning

    • Develop predictive and statistical models to support business and client analytics use cases
    • Apply machine learning techniques to improve forecasting, segmentation, and risk analysis
    • Evaluate model performance and translate analytical outputs into practical business insights

    Data Analytics & Insights

    • Analyse large datasets to identify trends, patterns, and opportunities within Guardrisk Life’s portfolios and client businesses
    • Translate complex analytical findings into clear insights that support business decision-making
    • Collaborate with business stakeholders to identify new analytics opportunities

    Client & Portfolio Analytics

    • Support analytics initiatives for Guardrisk Life clients by delivering insights on portfolio performance, trends, and opportunities
    • Develop analytical frameworks and benchmarking approaches to evaluate product and portfolio performance
    • Present analytical findings to both technical and non-technical stakeholders

    Automation & Data Solutions

    • Design and build automated reporting and analytics solutions that improve operational efficiency
    • Identify opportunities to automate manual reporting or analytical processes across the business
    • Develop reusable analytics tools and data solutions that can scale across portfolios or clients

    Data Engineering & Technical Development

    • Extract, transform, and analyse data from multiple systems using advanced SQL and Python
    • Work with modern data platforms such as Databricks, Synapse, or similar cloud analytics environments
    • Contribute to the development and improvement of internal analytics platforms and dashboards

    Deadline:17th April,2026

    Method of Application

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