We are seeking a highly analytical Specialist to support insurance risk assessment, claims analysis, portfolio monitoring, and data-driven decision-making. The position is suitable for a professional who understands risk concepts and can work with large datasets to identify patterns, emerging risks, operational inefficiencies, and opportunities to improve insurance processes.

The successful candidate will analyze claims information, customer and policy data, loss trends, and portfolio performance. The role will involve developing analytical reports, supporting risk models, investigating unusual patterns, and providing recommendations to underwriting, claims, product, and management teams.

The Specialist will also contribute to the modernization of insurance operations through automation, predictive analytics, digital claims processing, and improved data-management practices. Strong quantitative reasoning and attention to detail will be particularly important.

Key Responsibilities:

• Analyze insurance claims, policy, and portfolio data.
• Identify emerging risk patterns and unusual claims behavior.
• Develop reports and dashboards for risk and portfolio monitoring.
• Support underwriting and claims teams with quantitative insights.
• Analyze loss ratios, claims frequency, severity, and portfolio trends.
• Assist in developing risk-scoring and predictive analytical models.
• Investigate data anomalies and recommend appropriate actions.
• Support fraud-risk identification and claims-quality initiatives.
• Monitor key risk and performance indicators.
• Collaborate with data scientists, actuaries, underwriters, and claims professionals.
• Improve data-quality and reporting processes.
• Prepare analytical recommendations for management decision-making.

Desired Qualifications & Skills:

• Degree in Statistics, Mathematics, Economics, Finance, Data Science, Actuarial Science, or a related discipline.
• Experience in insurance analytics, risk management, financial analysis, or data analysis.
• Strong Excel and SQL capabilities; Python, R, or BI tools are advantageous.
• Excellent quantitative and analytical reasoning.
• Strong attention to detail and ability to interpret complex datasets.
• Good communication skills and the ability to explain analytical findings clearly.

Are you interested in this position?

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