Actuary

Our Client, an organisation in the Insurance Sector, is seeking to recruit a highly skilled and motivated Actuary.

Responsibilities:

1. Pricing Analysis: Conduct pricing analysis for various insurance products, including but not limited to life, health, and property and casualty insurance. Collaborate with underwriters and product managers to develop competitive pricing strategies based on risk assessment and profitability targets.
2. Reserving and Financial Reporting: Assist in the development and execution of reserving methodologies and processes to accurately estimate the company's liabilities. Prepare financial reports, including actuarial reports, statutory filings, and management reports, ensuring accuracy and compliance with regulatory requirements.
3. Data Analysis: Analyze large datasets using actuarial software and statistical tools to identify trends, patterns, and potential risks. Utilize data visualization techniques to effectively communicate findings to stakeholders, enabling informed decision-making.
4. Risk Assessment and Mitigation: Collaborate with the risk management team to assess and mitigate potential risks associated with insurance products and investment strategies. Provide actuarial input on risk management strategies and contribute to the development of appropriate risk models.
5. Actuarial Research: Stay updated with industry trends, regulatory changes, and actuarial methodologies. Conduct research and analysis to enhance actuarial practices within the company, incorporating innovative approaches and emerging technologies where applicable.

Qualifications and Experience:

• Associate-level actuarial qualification (e.g., ASA, ACAS) with a strong foundation in actuarial principles and practices.
• 3-5 years of relevant experience in an actuarial role within the insurance industry, preferably with exposure to pricing and financial reporting.
• Solid understanding of IFRS 17 and experience in implementing its requirements.
• Proficiency in actuarial software and statistical tools (e.g., Excel, SAS, R, Python) for data analysis and modeling.
• Strong analytical and problem-solving skills with the ability to work with complex datasets and draw meaningful insights.
• Excellent written and verbal communication skills to effectively convey actuarial concepts and findings to both technical and non-technical stakeholders.
• Detail-oriented with a high degree of accuracy and the ability to prioritize and manage multiple tasks within deadlines.
• Collaborative mindset and ability to work effectively in cross-functional teams.