Job Description
Actuary Sandton Johannesburg
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Our global client is looking for an experienced Actuary with 3-5 years experience. You will be responsible for analyzing financial risks using mathematics, statistics, and financial theory. This role involves developing and implementing models to assess the likelihood of future events, helping organizations make informed decisions regarding risk management, pricing, and financial planning.
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Salary Highly Negotiable
Responsibilities
Analyze and evaluate financial risks related to insurance policies, pension plans, and investment strategies.
Develop actuarial models to predict future events and assess the financial implications of various scenarios.
Collect, analyze, and interpret complex data sets to inform decision-making and strategy.
Assist in the development of pricing strategies for insurance products and pension plans based on risk assessment and market trends.
Ensure compliance with relevant regulations and standards in the actuarial field, including reporting requirements.
Prepare detailed reports and presentations for stakeholders, including management, clients, and regulatory bodies, summarizing findings and recommendations.
Work closely with other departments, such as underwriting, finance, and investment, to provide actuarial insights and support.
Stay updated on industry trends, emerging risks, and advancements in actuarial science to enhance methodologies and practices.
Provide guidance and mentorship to junior actuaries and actuarial students, fostering a culture of learning and development.
Qualifications and criteria
A Bachelors degree in Actuarial Science, Mathematics, Statistics, or a related field. A Masters degree is advantageous.
Must be a qualified actuary, typically through the Actuarial Society of South Africa (ASSA) or an equivalent international body.
Completion of the necessary actuarial exams is required.
Minimum of 3-5 years of experience in actuarial roles, preferably within the insurance or financial services sectors.
Strong analytical and problem-solving skills.
Proficiency in statistical software and programming languages (e.g., R, Python, SAS, Excel).
Excellent communication skills, both written and verbal, with the ability to convey complex concepts to non-technical stakeholders.
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Frogg Recruitment
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