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| Attribute | Actuaries | Actuarial Analyst |
|---|---|---|
| Career area | Computing, Data & Mathematics | Computing, Data & Mathematics |
| What it involves | Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. | Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. |
| Helpful KCSE subjects | ||
| Study routes | ||
| Typical training route | Bachelor's degree or equivalent professional qualification is commonly expected | Bachelor's degree or equivalent professional qualification is commonly expected |
| Entry requirements | Degree mean grade C+. Minimum subject requirement: Mathematics Alternative A C+. | Degree mean grade C+. Minimum subject requirement: Mathematics Alternative A C+. |
| Training duration | Degree: about 4 years; professional actuarial exams continue alongside/after degree | Degree: about 4 years; professional actuarial exams continue alongside/after degree |
| Work environment | ||
| Employment type | ||
| Kenya demand | High - strong relevance to insurance, pensions, risk, banking and analytics; quantitative and professional actuarial skills are highly transferable. | High - strong relevance to insurance, pensions, risk, banking and analytics; quantitative and professional actuarial skills are highly transferable. |
| Outlook / AI impact | Stable-to-growing / AI-augmented | Stable-to-growing / AI-augmented |
| Professional regulator | No single statutory professional regulator identified for this general title | No single statutory professional regulator identified for this general title |
| Could this suit you? | May suit you if you enjoy solving problems with logic, data or technology; useful strengths include Reading comprehension, Numeracy, Pattern recognition. | May suit you if you enjoy solving problems with logic, data or technology; useful strengths include Reading comprehension, Numeracy, Pattern recognition. |
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