What Jobs are available for Lead Actuarial Analyst in Kenya?
Showing 998 Lead Actuarial Analyst jobs in Kenya
Lead Actuarial Analyst
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Lead Actuarial Analyst, Risk Management
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Responsibilities:
- Develop, validate, and implement sophisticated actuarial models for pricing, reserving, and risk assessment across various insurance lines.
- Analyze large datasets to identify trends, assess risk factors, and forecast future liabilities.
- Provide expert actuarial input and recommendations to support product development, underwriting guidelines, and business strategy.
- Collaborate with underwriting and claims departments to evaluate the financial impact of emerging risks and trends.
- Prepare detailed actuarial reports and presentations for management, regulators, and other stakeholders.
- Ensure compliance with all relevant actuarial standards, regulations, and internal policies.
- Mentor and guide junior actuarial staff, fostering their professional development in a remote team environment.
- Contribute to the development and enhancement of actuarial software and methodologies.
- Evaluate the financial implications of new business initiatives and strategic partnerships.
- Stay current with industry best practices, emerging risks, and technological advancements in actuarial science.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Fellowship or near-fellowship status with a recognized actuarial society (e.g., SOA, CAS, IoA).
- Minimum of 8 years of progressive experience in the insurance industry, with a focus on actuarial analysis and risk management.
- Proven experience in developing and implementing pricing and reserving models.
- Strong proficiency in actuarial software (e.g., Prophet, Emblem, Radar) and programming languages (e.g., R, Python, SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Demonstrated ability to manage complex projects independently and meet deadlines in a remote setting.
- Exceptional communication and presentation skills, with the ability to convey complex technical information clearly and concisely.
- Deep understanding of insurance products, market dynamics, and regulatory environments.
- Experience mentoring junior analysts is highly desirable.
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Lead Actuarial Analyst
Posted 4 days ago
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Lead Actuarial Analyst - Reinsurance
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The ideal candidate will possess a strong foundation in actuarial science, with extensive experience in reserving, pricing, and capital modeling, specifically within the context of reinsurance. You should have a proven track record of developing, implementing, and validating complex actuarial models using software like R, Python, SAS, or similar advanced statistical tools. Responsibilities include analyzing historical data, forecasting future claims trends, and quantifying potential losses. You will be responsible for preparing detailed reports and presentations for senior management and regulatory bodies, providing clear insights into financial exposures and recommended strategies. Excellent communication and collaboration skills are essential, as you will work closely with underwriting, claims, and finance departments, as well as external auditors and reinsurers. We are looking for a self-driven, highly analytical individual with exceptional attention to detail and the ability to manage multiple projects simultaneously in a remote setting. Attainment of actuarial designations (e.g., ACAS, FCAS, FIA) is highly preferred.
Key Responsibilities:
- Analyze and assess risks associated with insurance portfolios for reinsurance purposes.
- Develop, implement, and maintain actuarial models for pricing, reserving, and capital management.
- Price reinsurance treaties and evaluate treaty structures.
- Perform sensitivity analyses and stress testing on financial projections.
- Prepare comprehensive actuarial reports and present findings to stakeholders.
- Collaborate with underwriting, claims, and finance teams to ensure accurate risk assessment.
- Ensure compliance with all relevant actuarial standards and regulatory requirements.
- Mentor junior actuaries and provide technical guidance.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of actuarial experience, with a significant focus on reinsurance.
- Strong proficiency in actuarial software and programming languages (e.g., R, Python, SAS).
- Demonstrated experience with reserving, pricing, and capital modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Actuarial designation (e.g., ACAS, FCAS, FIA) or progress towards one.
- Ability to work independently and manage workload effectively in a remote environment.
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Lead Actuarial Analyst - Insurance
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Lead Actuarial Analyst - Remote
Posted today
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Key Responsibilities:
- Lead the development, analysis, and implementation of actuarial models for pricing, reserving, and forecasting.
- Perform complex actuarial calculations and analyses to assess financial risks associated with insurance products.
- Develop and maintain appropriate reserving methodologies and ensure compliance with regulatory requirements.
- Analyze profitability of insurance products and provide recommendations for pricing adjustments.
- Mentor and guide junior actuarial analysts, fostering their professional development.
- Collaborate with cross-functional teams, including underwriting, claims, and finance, to provide actuarial insights and support.
- Research and implement new actuarial techniques and technologies to enhance analytical capabilities.
- Prepare clear and concise actuarial reports and presentations for senior management and regulatory bodies.
- Contribute to strategic planning by providing data-driven insights on financial performance and risk exposure.
- Ensure adherence to professional actuarial standards and ethical guidelines.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Associate or Fellow designation from a recognized actuarial society (e.g., SOA, CAS, Institute and Faculty of Actuaries).
- Minimum of 5 years of experience in actuarial roles within the insurance industry.
- Proven experience in pricing, reserving, or financial modeling.
- Proficiency in actuarial software (e.g., R, Python, SAS, Prophet) and advanced Excel skills.
- Strong understanding of insurance products, regulations, and market dynamics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
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Remote Lead Actuarial Analyst
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Key Responsibilities:
- Develop, implement, and validate actuarial models for pricing, reserving, and financial forecasting.
- Analyze large datasets to identify trends, assess risks, and inform strategic decisions.
- Price new insurance products and review existing ones to ensure profitability and competitiveness.
- Perform experience studies on mortality, morbidity, and persistency.
- Ensure compliance with all relevant insurance regulations and actuarial standards.
- Prepare detailed reports and presentations for management, highlighting key findings and recommendations.
- Collaborate with underwriting, claims, and product development teams to provide actuarial support.
- Mentor and guide junior actuarial analysts, fostering their professional development.
- Continuously research and recommend improvements to actuarial methodologies and tools.
- Manage actuarial projects from inception to completion, ensuring deadlines are met.
Qualifications:
- Associate or Fellow of the Society of Actuaries (ASA/FSA) or equivalent professional designation.
- Master's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Minimum of 7 years of progressive experience in the insurance industry, with a strong focus on actuarial analysis.
- Proficiency in actuarial software and statistical programming languages (e.g., R, Python, SAS, Prophet, Moses).
- Expertise in statistical modeling, data analysis, and risk management techniques.
- Strong understanding of insurance products, regulations, and financial reporting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven leadership and project management capabilities.
- Exceptional communication and presentation skills, with the ability to convey complex information clearly.
- Ability to work autonomously and manage multiple projects effectively in a remote environment.
This is a unique opportunity to take on a leadership role within a reputable insurance firm, offering the flexibility of a remote position. You will play a vital part in shaping the financial future of the company. If you are a seasoned actuarial professional looking for a challenging and rewarding remote opportunity, apply now. Contribute your expertise to our client's success from your home office, located in or around **Naivasha, Nakuru, KE**.
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Lead Actuarial Analyst - Risk Modeling
Posted today
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Responsibilities:
- Develop and maintain advanced actuarial models for risk assessment, pricing, and reserving across multiple lines of insurance business.
- Conduct rigorous validation of existing models and explore innovative approaches for model enhancement.
- Analyze complex datasets to identify trends, quantify risks, and provide actionable insights to senior management.
- Collaborate closely with underwriting, claims, and finance departments to ensure alignment of risk management strategies.
- Interpret and communicate complex actuarial findings to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and industry best practices in actuarial modeling.
- Stay current with emerging risk management techniques, actuarial software, and predictive analytics tools.
- Mentor and guide junior actuarial team members, fostering a culture of continuous learning and development.
- Contribute to the development of new insurance products by providing robust risk analysis and pricing recommendations.
- Design and implement stress testing and scenario analysis frameworks to evaluate the impact of adverse events.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Fellow of the Actuarial Society (or equivalent designation) with a strong emphasis on risk management.
- Minimum of 10 years of progressive experience in actuarial roles within the insurance industry.
- Demonstrated expertise in developing and implementing sophisticated risk models (e.g., Solvency II, IFRS 17, catastrophe modeling).
- Proficiency in actuarial software and programming languages such as R, Python, SAS, or SQL.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Excellent communication and presentation skills, with the ability to convey technical information clearly and concisely.
- Proven leadership experience and the ability to mentor and develop a team.
- Familiarity with various insurance product types (e.g., life, health, property & casualty).
- Experience with data visualization tools is a plus.
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Lead Actuarial Analyst - Life Insurance
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Responsibilities:
- Develop, implement, and maintain complex actuarial models for pricing new life insurance products and evaluating existing ones.
- Perform regular experience studies, analyze mortality and morbidity trends, and incorporate findings into pricing and reserving.
- Conduct comprehensive risk assessments, including solvency, capital, and liquidity analyses, ensuring compliance with relevant regulations.
- Collaborate closely with product development, underwriting, and marketing teams to design competitive and profitable insurance solutions.
- Prepare detailed actuarial reports and presentations for senior management, regulatory bodies, and other stakeholders.
- Mentor and guide junior actuaries, fostering a culture of continuous learning and technical excellence.
- Stay updated on industry best practices, emerging risks, and changes in the regulatory landscape.
- Utilize advanced statistical techniques and data analytics tools to derive actionable insights.
- Contribute to strategic planning and long-term financial forecasting for the life insurance business.
Qualifications:
- Associate or Fellow of the Actuarial Society (or equivalent international body) with a strong focus on life insurance.
- Minimum of 7 years of progressive actuarial experience, with at least 3 years in a lead or supervisory role within life insurance.
- Proven expertise in actuarial modeling software (e.g., Prophet, GGY AXIS, Towers Watson ALFA) and programming languages (e.g., SQL, Python, R).
- Deep understanding of life insurance product design, pricing methodologies, and reserving principles (e.g., IFRS 17, local statutory requirements).
- Strong knowledge of regulatory requirements and capital management frameworks.
- Exceptional analytical, problem-solving, and quantitative skills.
- Excellent communication and interpersonal skills, with the ability to effectively present complex information to diverse audiences.
- Demonstrated leadership capabilities and a passion for mentoring team members.
- Ability to work autonomously and manage multiple projects in a remote setting.
- Commitment to professional ethics and data integrity.
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