
Finance • Consulting • Insurance
Marsh McLennan is a leading professional services firm that operates in the areas of risk, strategy, and people. With over 85,000 employees worldwide, the company encompasses four main businesses: Marsh, offering insurance broking and risk management; Guy Carpenter, providing reinsurance and capital strategies; Mercer, specializing in health, wealth, and career consulting; and Oliver Wyman, focusing on strategy, economic, and brand consulting. Marsh McLennan is committed to fostering an inclusive culture, empowering its employees, and delivering innovative solutions to clients globally.
6 hours ago

Finance • Consulting • Insurance
Marsh McLennan is a leading professional services firm that operates in the areas of risk, strategy, and people. With over 85,000 employees worldwide, the company encompasses four main businesses: Marsh, offering insurance broking and risk management; Guy Carpenter, providing reinsurance and capital strategies; Mercer, specializing in health, wealth, and career consulting; and Oliver Wyman, focusing on strategy, economic, and brand consulting. Marsh McLennan is committed to fostering an inclusive culture, empowering its employees, and delivering innovative solutions to clients globally.
• Analyze claims, policy, and exposure data to identify trends in loss frequency, severity, and cost drivers for commercial insurance clients, risk managers and company leadership. • Assist in the ongoing loss data optimization by extracting, cleaning, and transforming data from various internal and external data sources. • Collaborate with account teams and clients to understand reporting needs and deliver actionable insights on a recurring basis for a variety of commercial insurance clients, policies, coverages and risk programs. • Develop and maintain loss analysis dashboards and reports for internal teams and clients. • Support underwriting, claims, and actuarial teams with data extracts, visualizations, and ad hoc analysis. • Ensure data accuracy, integrity, and compliance with regulatory and client-specific requirements. • Present findings to both technical and non-technical audiences, including senior leadership and clients. • Contribute to the automation of recurring reports and the enhancement of data infrastructure.
• Bachelor’s degree in data science, Statistics, Actuarial Science, or a related field. • 2+ years of experience in data analysis within the insurance industry. • Proficiency in SQL and Python (or R). • Experience with data visualization tools (e.g., Power BI, Tableau, Qlik). • Strong understanding of insurance data, including claims, premiums, and exposures. • Excellent communication skills and a client-service mindset.
• Generous time off, including personal and volunteering • Comprehensive insurance options including health, dental, vision and life. • Tuition reimbursement and professional development opportunities • Remote position - 100% work from home • Charitable contribution match programs • Stock purchase opportunities
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