5 Senior Insurance Risk Analyst jobs in whatjobs
Senior Insurance Risk Analyst
Posted 19 days ago
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Job Description
Senior Insurance Risk Analyst
Posted 19 days ago
Job Viewed
Job Description
Key responsibilities include:
- Analyzing insurance data to identify trends, potential risks, and areas for improvement.
- Developing and maintaining risk models, including solvency and capital adequacy assessments.
- Ensuring compliance with all relevant insurance regulations and industry best practices.
- Preparing detailed reports and presentations on risk exposures and mitigation strategies for stakeholders.
- Collaborating with cross-functional teams to embed risk management principles into business processes.
- Staying abreast of market developments, emerging risks, and new regulatory requirements.
- Mentoring junior analysts and contributing to the team's knowledge base.
Senior Insurance Risk Analyst
Posted 19 days ago
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Job Description
Responsibilities:
- Develop, implement, and refine risk management frameworks and strategies specific to the insurance industry.
- Conduct in-depth analysis of underwriting data, claims data, and market trends to identify potential risks.
- Build and maintain quantitative models to assess financial risks, including solvency, liquidity, and credit risk.
- Evaluate the effectiveness of existing risk controls and recommend enhancements.
- Monitor regulatory changes and ensure compliance with all relevant insurance laws and guidelines.
- Prepare comprehensive risk reports and present findings and recommendations to senior management and relevant committees.
- Collaborate with underwriting, actuarial, and claims departments to integrate risk management practices.
- Investigate and analyze emerging risks in the insurance landscape.
- Stay updated on industry best practices and new methodologies in risk management.
- Contribute to the development and implementation of business continuity and disaster recovery plans.
- Master's degree in Finance, Economics, Mathematics, Statistics, Actuarial Science, or a related quantitative field.
- Minimum of 7 years of experience in risk management, with a significant focus on the insurance industry.
- Proven experience in quantitative modeling, data analysis, and statistical software (e.g., R, Python, SAS).
- Deep understanding of insurance products, underwriting principles, and claims processes.
- Knowledge of regulatory frameworks such as Solvency II, IFRS 17, or local Kenyan insurance regulations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex risk concepts clearly.
- Ability to work independently and manage multiple projects simultaneously in a remote environment.
- Professional certifications such as FRM (Financial Risk Manager), PRM (Professional Risk Manager), or actuarial qualifications are highly advantageous.
Senior Insurance Risk Analyst
Posted 16 days ago
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Job Description
Key Responsibilities:
- Conduct in-depth analysis of market trends, regulatory changes, and internal data to forecast potential risks and opportunities.
- Develop, maintain, and enhance quantitative risk models, including but not limited to, solvency, market, credit, and operational risk models.
- Design and implement stress testing and scenario analysis frameworks to evaluate the resilience of the company's capital and liquidity under adverse conditions.
- Collaborate with underwriting, actuarial, and claims departments to integrate risk management principles into business processes.
- Prepare comprehensive risk reports and presentations for senior management and regulatory bodies.
- Monitor the effectiveness of risk controls and recommend improvements to mitigate identified weaknesses.
- Stay abreast of emerging risks and industry best practices in risk management and insurance.
- Mentor junior analysts and contribute to the development of a strong risk-aware culture within the organization.
Qualifications:
- Bachelor's or Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- A minimum of 5 years of progressive experience in risk management, particularly within the insurance or financial services industry.
- Strong understanding of insurance products, regulations (e.g., Solvency II, IFRS 17), and risk management frameworks.
- Proficiency in statistical software and programming languages such as R, Python, SQL, or similar.
- Experience with financial modeling, data analysis, and risk assessment tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences.
- Demonstrated ability to work independently and as part of a distributed team.
Senior Insurance Risk Analyst
Posted 2 days ago
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Job Description
- Conducting comprehensive risk assessments for various insurance lines and business operations.
- Developing and maintaining risk models to quantify potential financial impacts.
- Analyzing claims data, underwriting information, and market trends to identify emerging risks.
- Evaluating the effectiveness of existing risk mitigation strategies and controls.
- Recommending and implementing new risk management policies and procedures.
- Collaborating with underwriting, claims, and actuarial teams to ensure a cohesive risk approach.
- Preparing detailed risk reports and presentations for senior management and regulatory bodies.
- Monitoring regulatory changes and ensuring compliance with relevant insurance laws and guidelines.
- Staying abreast of industry best practices in risk management and insurance.
- Contributing to the development and refinement of risk appetite frameworks.
A Bachelor's degree in Actuarial Science, Statistics, Mathematics, Finance, or a related quantitative field is required. A Master's degree or relevant professional designation (e.g., ACII, CPCU, ARM) is highly desirable. A minimum of 5-7 years of experience in insurance risk analysis, actuarial science, or a related field is mandatory. Strong analytical and quantitative skills, with proven proficiency in statistical software (e.g., R, SAS, Python) and advanced Excel, are essential. Excellent communication and interpersonal skills are required to effectively present complex findings to diverse audiences in a remote setting. This is a fully remote position, requiring excellent organizational skills, self-motivation, and the ability to work independently with minimal supervision. If you are a data-driven risk professional with a passion for safeguarding organizations through insightful analysis and possess the ability to excel in a remote environment, we encourage you to apply.
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