Senior Insurance Risk Analyst — Hybrid Flex Work

Placements24; Gauteng; On-site; ZAR 700,000 - 900,000; Full time

Job summary

Placements24 is seeking an experienced Insurance Risk Analyst to join its client in Benoni. The role focuses on identifying, assessing, and mitigating market, credit, operational, and underwriting risks, with emphasis on developing risk models and monitoring exposures to safeguard financial health.

Responsibilities include implementing risk frameworks, analyzing financial data and market trends, reporting KRIs to senior management, conducting stress tests, and collaborating with underwriting,

Qualifications

• Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in risk analysis, preferably within the insurance or financial services industry.
• Strong knowledge of risk management principles, regulatory requirements (e.g., Solvency II), and statistical modeling techniques.
• Proficiency in data analysis.

Responsibilities

• Develop, implement, and maintain risk management frameworks and models for various insurance lines.
• Analyze financial data and market trends to identify potential risks and quantify their impact on the business.
• Monitor risk exposures across the organization and report on key risk indicators (KRIs) to senior management.
• Conduct stress testing and scenario analysis to assess the company's resilience to adverse events.
• Collaborate with underwriting, actuarial, and claims departments to integrate risk management into business processes.
• Recommend and implement risk mitigation strategies and controls to reduce potential losses.

Skills

Data analysis

Risk analysis

Education

Master's degree in Finance or related quantitative field

Job description

Our client is seeking a quantitative and analytical Insurance Risk Analyst to join their team in Benoni. This role focuses on identifying, assessing, and mitigating various risks faced by the company, including market, credit, operational, and underwriting risks. You will play a vital role in developing risk models, monitoring risk exposures, and providing strategic recommendations to senior management to safeguard the company's financial health and ensure sustainable growth. This position is perfect for a detail-oriented individual with strong analytical capabilities and a deep understanding of risk management principles within the financial services sector.

About the Role

Our client is seeking a quantitative and analytical Insurance Risk Analyst to join their team in Benoni. This role focuses on identifying, assessing, and mitigating various risks faced by the company, including market, credit, operational, and underwriting risks. You will play a vital role in developing risk models, monitoring risk exposures, and providing strategic recommendations to senior management to safeguard the company's financial health and ensure sustainable growth. This position is perfect for a detail-oriented individual with strong analytical capabilities and a deep understanding of risk management principles within the financial services sector.

Key Responsibilities

• Develop, implement, and maintain risk management frameworks and models for various insurance lines.
• Analyze financial data and market trends to identify potential risks and quantify their impact on the business.
• Monitor risk exposures across the organization and report on key risk indicators (KRIs) to senior management.
• Conduct stress testing and scenario analysis to assess the company's resilience to adverse events.
• Collaborate with underwriting, actuarial, and claims departments to integrate risk management into business processes.
• Recommend and implement risk mitigation strategies and controls to reduce potential losses.

Requirements

• Master’s degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in risk analysis, preferably within the insurance or financial services industry.
• Strong knowledge of risk management principles, regulatory requirements (e.g., Solvency II), and statistical modeling techniques.
• Proficiency in data analysis