
Risk Modelling Expert
7 days ago
Summary:
As a Risk Modelling Expert, you will play a crucial role in our organization's financial strategy by analyzing and interpreting data related to employee benefits. You will work collaboratively with teams to ensure compliance with accounting standards and provide insightful risk assessments.
Responsibilities:
- Conduct valuations of gratuity plans and other post-employment benefits in accordance with International Accounting Standards (IAS-19). This involves analyzing historical data, forecasting future trends, and calculating present values of liabilities.
- Utilize advanced Excel skills to manipulate large datasets and enhance complex actuarial models for informed decision-making.
- Prepare accurate and timely financial reports related to employee benefits for clients, ensuring compliance with relevant accounting standards and providing clear explanations for any deviations or variances.
- Collaborate closely with team members to gather information, validate assumptions, and reconcile discrepancies in data.
Qualifications:
- Bachelor's Degree: Minimum requirement of a bachelor's degree in actuarial science, mathematics, statistics, finance, or a related field.
- Experience: 6-12 months of prior job experience in actuarial analysis, preferably with exposure to gratuity/pension valuations and financial reporting. Familiarity with International Financial Reporting Standards (IFRS) is an asset.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions. Proficiency in Excel for data manipulation and modeling is essential.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to clients.
This role offers a unique opportunity to gain valuable experience in actuarial analysis and risk management principles. If you are a detail-oriented individual with a passion for numbers and a desire to make a positive impact, we encourage you to apply.
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