• Data Collection and Analysis • Gather, analyse, and interpret complex data sets from various insurance (life and general) and asset management systems. • Analyse trends and anomalies in claims, underwriting, policyholder behaviour, and investment portfolios to generate insights and identify opportunities for business growth. • Risk & Performance Analysis • Support the actuarial and underwriting teams by analysing risk profiles and contributing to pricing models. • Develop predictive models to assess future trends in claims, premium collection, and investment returns. • Analyse data to assess risk factors and develop models with the risk management team to implement data-driven risk mitigation strategies • Cross-Functional Collaboration • Collaborate with actuarial, claims, and risk management teams to provide analytical support for product development, claims management, and risk mitigation strategies. • Assist in developing and optimizing insurance and asset management processes using advanced data analytics techniques. • Market and Competitor Analysis • In collaboration with marketing and business development, conduct market research & competitor analysis to identify opportunities & threats. • Provide insights on market trends and customer behaviour to inform business strategies. • Reporting & Presentation • Leverage Power BI to present insights and findings to senior management, contributing to decision-making and strategic planning. • Prepare reports on business performance, risk factors, and market trends for the stakeholders. • Provide regular updates on key metrics related to policy performance, customer segments, and investment portfolios. • Reporting and Data Integrity & Governance • Collaborate with the actuary and finance teams to ensure report and DATA management accuracy and completeness. • Keep up to date with and provide insights to support regulatory reporting requirements in insurance and asset management

• Bachelor’s degree in Accounting, Actuarial Science, Computer Science, Data Science, Finance, Information Technology or Mathematics • Strong proficiency in Power BI data visualisation and analytics, and other DATA analysis tools – specifically Python, SQL, R, Excel • Relevant Work Experience • Proven experience (3+ years) in data analytics within the asset management, banking, general and/or life insurance and telecom sectors. • Experience with statistical modelling, predictive analytics, and machine learning techniques is a plus. • Ability to work independently and collaboratively in a fast-paced environment. • Technical Competencies • In-depth knowledge of data analytics tools, and emerging trends in Customer Value Management (CVM). • Excellent analytical and problem-solving skills, with the ability to translate data into actionable insights. • Strong attention to detail, problem-solving skills, and the ability to communicate complex data insights to non-technical stakeholders. • A working knowledge of change management with the ability to influence organizational change. • skills; • Accounting, Accounting, Actionable Insights, Analytical Support, Analytical Thinking, Analytical Tools, Asset Management, Banking, Business Performance, Business Strategies, Communication, Competitor Analysis, Computer Science, Customer Behavior, Customer Value, Customer Value Management, Data Analysis, Data Analysis Tools, Data Analytics, Data Compilation, Data Insights, Data Interpretations, Data Science, Datasets, Detail-Oriented {+ 31 more} • education; • Bachelors Degree (B): Accounting (Required), Bachelors Degree (B): Actuarial Science (Required), Bachelors Degree (B): Computer and Information Science (Required), Bachelors Degree (B): Finance (Required), Bachelors Degree (B): Mathematics (Required)

Old Mutual Limited is a pan-African investment, savings, insurance, and banking group. It is listed on the Johannesburg Stock Exchange, the Zimbabwe Stock Exchange, the Namibian Stock Exchange and the Botswana Stock Exchange. Follow link below to apply;