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  • Posted: Nov 7, 2025
    Deadline: Not specified
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  • CIC Insurance Group Limited, commonly referred to as CIC Group, is an insurance and investment group that operates mainly in Kenya, Uganda, South Sudan and Malawi
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    Actuarial Manager – Systems and Reporting

    About the Role

    We are seeking a forward-thinking Actuarial Manager – Systems and Reporting to lead the automation, systemization, and continuous improvement of actuarial reporting processes across our Life and General Insurance entities. This is a pivotal role for a technically strong actuary who thrives at the intersection of systems, modelling, and financial reporting. You will champion actuarial efficiency, ensure IFRS 17 compliance, and strengthen the integrity and consistency of actuarial reporting across the Group.

    Key Responsibilities

    Lead IFRS 17 Systemization and Reporting

    • Champion automation and systemization of IFRS 17 actuarial reporting processes for Life and General Insurance entities.
    • Collaborate with Finance and IT to streamline data integration between actuarial and accounting systems.
    • Maintain and enhance actuarial system configurations, assumptions, and methodologies to ensure compliance with IFRS 17 standards.
    • Validate actuarial outputs for accuracy, completeness, and audit readiness.
    • Drive continuous system improvement and oversee upgrades and enhancements.

    Actuarial Modelling and System Development

    • Develop and maintain efficient, well-documented actuarial models used for reserving, pricing, and projections.
    • Lead automation initiatives to improve actuarial data management and reporting efficiency.
    • Integrate actuarial models into enterprise platforms and dashboards.
    • Establish governance, version control, and quality assurance for actuarial systems and models.

    Cross-Functional Collaboration

    • Partner with subsidiary actuarial teams to align methodologies, assumptions, and model configurations.
    • Work closely with Group Finance, Risk, and IT to embed actuarial systems into wider Group processes.
    • Provide mentorship, training, and technical guidance on model governance and system best practices.
    • Actively contribute to Group Actuarial governance and continuous improvement forums.

    Governance, Risk, and Compliance

    • Ensure actuarial models and reports comply with Group policies, professional standards, and regulatory requirements.
    • Maintain comprehensive documentation of actuarial methodologies and assumptions.
    • Support internal and external model validation and implement improvement recommendations.

     Who We’re Looking For

    Qualifications

    • Bachelor’s degree in Actuarial Science, Statistics, Mathematics, or a related quantitative discipline.
    • Qualified or near-qualified actuary (IFoA, SOA, ASSA, or equivalent).
    • 6–8 years of actuarial experience, including at least 3 years in a Life or General Insurance environment.
    • Demonstrated experience in IFRS 17 implementation, actuarial modelling, and systemization.
    • Solid understanding of actuarial software (Prophet, MoSes, AXIS, or equivalent) and data tools (SQL, Python, Power BI).
    • Strong grasp of insurance financial reporting and reserving methodologies.

    Key Competencies

    • Technical Excellence: Advanced analytical, modelling, and problem-solving skills with a strong systems orientation.
    • Innovation Mindset: Passion for automation, digital transformation, and continuous improvement.
    • Stakeholder Influence: Ability to collaborate effectively with Finance, Risk, and IT teams across multiple jurisdictions.
    • Strategic Thinking: Capacity to link actuarial insights to business outcomes and decision-making.
    • Integrity & Accuracy: Commitment to precision, auditability, and governance standards.
    • Leadership & Mentorship: Willingness to guide and upskill teams in actuarial systems and processes.
    • Resilience & Agility: Comfortable working in a dynamic environment with evolving regulatory and business needs.

    go to method of application »

    Actuarial Assistant – Systems and Reporting

    About the Role

    We are looking for an enthusiastic Actuarial Assistant to provide analytical and technical support within the Group Actuarial Systems and Reporting team. The role supports the automation and continuous improvement of actuarial models and reporting systems across the Group’s Life and General Insurance businesses.

    This entry-level opportunity is ideal for a motivated actuarial graduate eager to build a strong foundation in actuarial systems, modelling, and data analytics in a collaborative and innovative environment.

    Key Responsibilities

    • Assist in preparing and validating data for actuarial modelling and reporting.
    • Support the execution and testing of actuarial models under the guidance of the Actuarial Analyst and Manager.
    • Support in maintaining documentation of assumptions, methodologies, and model configurations.
    • Participate in model automation, process testing, and improvement initiatives.
    • Contribute to regular actuarial reporting tasks, including reconciliations and data checks.
    • Provide general analytical and technical support to the Group Actuarial team.

    Who We’re Looking For

    Qualifications

    • Bachelor’s degree in Actuarial Science, Statistics, Mathematics, or a related field.
    • 0–2 years of actuarial experience (internship or graduate trainee experience acceptable).
    • Progress toward actuarial exams (IFoA, SOA, ASSA, or equivalent) is an advantage.
    • Proficiency in Microsoft Excel; familiarity with SQL, Python, or Power BI is desirable.
    • Strong numerical aptitude, problem-solving skills, and attention to detail.

    Key Competencies

    • Analytical, curious, and eager to learn new systems and actuarial tools.
    • Strong teamwork and communication skills.
    • High level of accuracy and accountability.
    • Demonstrates initiative and adaptability in a fast-evolving environment.

    go to method of application »

    Actuarial Analyst – Systems and Reporting

    About the Role

    We are seeking a proactive and technically skilled Actuarial Analyst to join our Group Actuarial team. The role will support the Actuarial Manager – Systems and Reporting in driving automation, systemization, and continuous improvement of actuarial reporting processes across our Life and General Insurance entities. This position is ideal for an actuary who enjoys working with data, actuarial models, and systems, and is keen to contribute to IFRS 17 and financial reporting transformation at Group level.

    Key Responsibilities

    • Support the automation and systemization of IFRS 17 actuarial reporting processes for Life and General Insurance entities.
    • Perform data preparation, validation, and reconciliations to support actuarial modelling and reporting.
    • Assist in maintaining actuarial model configurations, assumptions, and documentation.
    • Support development, testing, and enhancement of actuarial models used for valuation, reserving, and financial projections.
    • Participate in the integration of actuarial models with Group reporting platforms and data systems.
    • Provide testing and documentation support for system improvements and upgrades.
    • Collaborate with Finance, IT, and subsidiary actuarial teams to ensure accuracy, efficiency, and consistency of actuarial outputs.

     Who We’re Looking For

    Qualifications

    • Bachelor’s degree in Actuarial Science, Statistics, Mathematics, or a related field.
    • Progress toward actuarial qualification (IFoA, SOA, ASSA, or equivalent).
    • 2–4 years of actuarial experience in Life or General Insurance.
    • Working knowledge of IFRS 17 concepts and actuarial software (Prophet, MoSes, AXIS, or equivalent).
    • Proficiency in Excel; experience with SQL, Python, or Power BI is an added advantage.
    • Strong analytical and problem-solving skills with high attention to detail.

    Key Competencies

    • Curious and self-driven with a passion for actuarial systems and automation.
    • Strong analytical and technical aptitude.
    • Effective collaborator with excellent communication skills.
    • Organized, detail-oriented, and able to work under tight timelines.
    • Committed to professional growth and continuous learning.

    Method of Application

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