Lead Actuarial Analyst

About

Our client, a leading insurance provider, is seeking an accomplished Lead Actuarial Analyst to join their esteemed risk management division in East London, Eastern Cape, ZA. This pivotal role will involve leading a team of actuaries and analysts in conducting complex actuarial studies, developing pricing models, reserving calculations, and supporting strategic business decisions. You will be responsible for ensuring the financial soundness and profitability of the company by assessing and managing insurance risks. Key tasks include performing data analysis, building and validating statistical models, and interpreting results to provide actionable insights to senior management.

The Lead Actuarial Analyst will play a crucial role in product development, pricing strategies, and solvency assessments. You will also be involved in regulatory reporting and ensuring compliance with industry standards and requirements. This position requires a strong understanding of actuarial principles, statistical modeling techniques, and financial mathematics. The ability to mentor and guide junior members of the actuarial team, fostering their professional development, is a key responsibility. Excellent communication skills are essential for presenting complex findings and recommendations to non-technical stakeholders, including executive leadership. You will contribute significantly to the company's long-term financial planning and risk mitigation efforts. The role demands a proactive approach to identifying emerging risks and developing innovative solutions.

Qualifications

• A Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field is required.
• Completion of several actuarial exams towards obtaining full actuarial credentials (e.g., Fellow of the Actuarial Society of South Africa - FASSA) is essential.
• A minimum of 7 years of progressive actuarial experience within the insurance industry is required.
• Proven experience in pricing, reserving, and financial modeling is mandatory.
• Proficiency in actuarial software and statistical programming languages (e.g., R, Python, SAS) is highly desirable.
• Strong analytical, problem-solving, and leadership skills are necessary.
• The ability to manage multiple projects concurrently and meet strict deadlines is crucial.
• This role requires a dedicated individual committed to maintaining the highest professional standards.