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  • Posted: Nov 20, 2023
    Deadline: Not specified
  • Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us

    We are always improving, ensuring that we deliver quality recruitment and training services to our clients and candidates. Our vision is to be the leading provider of human resource competencies in South Africa

    Read more about this company


    Manager: Actuarial Predictive Analytics and Modelling – Pretoria

    Key Performance Areas

    • Policy review and implementation
    • Predictive analytics and modelling
    • Actuarial Analysis
    • Reporting
    • Stakeholder Management
    • People Management


    • Bachelor’s Degree/Advanced Diploma in Actuarial Science/Mathematics/Statistics/Data Science related qualification.
    • Postgraduate in a Financial Management/ an Investment Management/ an Accounting/ a Risk Management related qualification will be an added advantage
    • At least 6 (six) professional actuarial exam passes/exemptions will be an added advantage.
    • At least one Data Science of the following certifications:
    • Data Science Certificate, CCP Data Engineer or SAS Academy for Data Science,
    • Certified Analytics Professional, Dell EMC Data Science Professional Certification Program,
    • SAS Advanced Analytics Professional Certification,
    • IBM Data Science Professional Certificate,
    • Microsoft Azure Data Scientist Associate Certificate,
    • AWS Certified Data Analytics,
    • Certified Analytics Professional, Harvard/EdX Professional Certificate in Data Science, DASCA: Senior Data Scientist,
    • Coursera: Data Science Specialization.


    • Relevant 6-8 years’ experience in an actuarial data science related environment of which 2 years must have been in management/supervisory level/area of expertise.
    • Experience in SAS (Base, Enterprise Guide, and Enterprise Miner), Python or R
    • Experience in building and implementation of supervised and unsupervised Machine Learning Algorithms to solve meaningful business problems.
    • Some experience with Python/Microsoft Machine Learning and tools available within the machine learning ecosystem (i.e. NumPy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks.
    • Knowledge and practical experience applying machine learning techniques and working in agile development teams.
    • Some experience in operationalizing data science solutions or similar product development.


    Method of Application

    Interested and qualified? Go to Affirmative Portfolios on to apply

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