What Jobs are available for Actuarial Analyst in Kenya?
Showing 642 Actuarial Analyst jobs in Kenya
Actuarial Analyst
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Actuarial Analyst - Risk Assessment
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Responsibilities:
- Conduct statistical analysis and build predictive models for insurance risks.
- Develop and maintain actuarial models for pricing and reserving.
- Analyze claim data and forecast future liabilities.
- Evaluate the financial impact of new products and policy changes.
- Collaborate with underwriting and product teams on pricing strategies.
- Prepare reports and presentations for management and regulatory bodies.
- Ensure compliance with actuarial standards and regulations.
- Stay updated on industry trends and new actuarial methodologies.
- Assist in the development of data-driven risk management strategies.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards actuarial exams (e.g., passing at least 2-3 exams).
- Minimum of 3 years of experience in actuarial analysis within the insurance industry.
- Strong proficiency in Microsoft Excel and SQL.
- Experience with statistical software such as R or Python is a plus.
- Excellent analytical, quantitative, and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work effectively in a team environment.
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Principal Actuarial Analyst
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Key responsibilities include leading the development and validation of complex actuarial models for pricing, reserving, and capital management. You will conduct in-depth analyses of historical data, industry trends, and emerging risks to inform actuarial assumptions. The Principal Actuarial Analyst will be responsible for staying abreast of regulatory changes and ensuring compliance with all relevant actuarial standards and guidelines. You will also mentor junior actuaries, providing technical guidance and fostering their professional development. Preparing comprehensive reports and presentations for senior management, regulatory bodies, and other stakeholders will be a significant part of the role. The ability to effectively communicate complex actuarial concepts to non-technical audiences is paramount.
The ideal candidate will possess a Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field, and have achieved Fellow or Associate status with a recognized actuarial society (e.g., SOA, CAS, IoA). A minimum of 8-10 years of progressive actuarial experience in the insurance industry is required, with demonstrated expertise in P&C or Life insurance products. Proficiency in actuarial software (e.g., Prophet, GGY Axis, R, Python) and strong data manipulation skills (SQL) are essential. Excellent analytical, problem-solving, and critical thinking abilities are a must. You must possess strong project management skills and the ability to manage multiple complex projects simultaneously in a remote setting. This is a leadership role requiring excellent communication and interpersonal skills, coupled with a deep understanding of risk management and insurance principles. We are looking for a strategic thinker with a commitment to professional excellence and innovation in actuarial science. This fully remote opportunity allows you to contribute to the financial health of the insurance industry, impacting areas relevant to Ongata Rongai, Kajiado, KE and beyond.
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Lead Actuarial Analyst
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Senior Actuarial Analyst
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Lead Actuarial Analyst
Posted 4 days ago
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Remote Actuarial Analyst
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Actuarial Analyst - Remote
Posted today
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Responsibilities:
- Perform actuarial calculations for pricing, reserving, and forecasting.
- Develop and maintain actuarial models and databases.
- Analyze financial data and assess insurance risks.
- Assist in the development and launch of new insurance products.
- Conduct statistical analysis and data mining to support actuarial insights.
- Collaborate with cross-functional teams, including underwriting and finance.
- Prepare actuarial reports and present findings to management.
- Ensure compliance with regulatory requirements and industry best practices.
- Stay updated on actuarial methodologies and emerging trends.
- Contribute to the professional development of the actuarial team.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards actuarial examinations (e.g., SOA, CAS) is highly preferred.
- Minimum of 2 years of experience in an actuarial role within the insurance industry.
- Strong understanding of actuarial principles and methodologies.
- Proficiency in actuarial software (e.g., GGY AXIS, Prophet) or statistical software (e.g., R, Python).
- Excellent quantitative, analytical, and problem-solving skills.
- Detail-oriented with strong data manipulation abilities.
- Effective communication and interpersonal skills.
- Ability to work independently and manage workload effectively in a remote environment.
- Commitment to professional growth and ethical conduct.
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Senior Actuarial Analyst
Posted 4 days ago
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Responsibilities:
- Perform actuarial valuations, including reserving and pricing for various insurance lines.
- Conduct experience analyses and develop predictive models for claims and policy behavior.
- Evaluate the profitability of new and existing insurance products.
- Assist in the development and implementation of actuarial software and tools.
- Collaborate with business units to provide actuarial insights and support strategic initiatives.
- Monitor and analyze industry trends and regulatory changes impacting the actuarial function.
- Prepare comprehensive actuarial reports and present findings to management.
- Ensure compliance with actuarial standards of practice and regulatory requirements.
- Mentor junior actuarial staff and contribute to their professional development.
- Identify and implement process improvements within the actuarial department.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards or completion of actuarial exams (e.g., SOA/CAS exams) is highly desirable.
- 5+ years of relevant actuarial experience in the insurance industry.
- Proficiency in actuarial modeling software (e.g., Prophet, GGY AXIS) and statistical tools (e.g., R, Python).
- Strong understanding of insurance principles, financial mathematics, and risk management.
- Excellent analytical, problem-solving, and quantitative skills.
- Effective communication and presentation abilities.
- Ability to work independently and manage deadlines in a remote setting.
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Senior Actuarial Analyst - Financial Modeling
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- Develop, implement, and maintain complex actuarial models for pricing, reserving, solvency, and financial projections across various insurance lines.
- Perform actuarial valuations, including the calculation of technical provisions, reserves, and capital requirements, in accordance with regulatory standards.
- Conduct sensitivity analyses, scenario testing, and stress testing to assess the impact of various risks on the company's financial position.
- Collaborate with underwriting, claims, finance, and risk management departments to gather data and provide actuarial insights.
- Assist in the development and enhancement of data quality controls and model governance frameworks.
- Stay current with advancements in actuarial science, modeling techniques, and regulatory changes affecting the insurance industry.
- Communicate complex actuarial findings and recommendations clearly and concisely to senior management and other stakeholders.
- Mentor junior actuarial staff and contribute to their professional development.
- Support the implementation of new actuarial software and systems.
- Ensure compliance with all relevant actuarial standards of practice and professional ethics.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards or completion of actuarial examinations (e.g., Institute and Faculty of Actuaries, SOA) is highly desirable.
- Minimum of 5 years of progressive experience in actuarial roles within the insurance industry.
- Demonstrated expertise in developing and implementing actuarial models using software such as Prophet, MoSes, R, Python, or VBA.
- Strong understanding of insurance products, risk management principles, and regulatory frameworks (e.g., IFRS 17, Solvency II).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in data manipulation and analysis tools (e.g., SQL, Excel).
- Strong written and verbal communication skills, with the ability to present technical information effectively.
- Ability to work independently and collaboratively in a hybrid work environment.
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