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.
Insurance Broking • Risk advisory services • HR and related consulting • outsourcing and investments services • Management consulting
March 28
🦌 Connecticut – Remote
🗽 New York – Remote
+2 more states
💵 $65.9k - $122.7k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🔒 Insurance
🦅 H1B Visa Sponsor
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.
Insurance Broking • Risk advisory services • HR and related consulting • outsourcing and investments services • Management consulting
• Support the National BI Analytics Leader in executing MMA’s analytics strategy • Review detailed information, analyze data for business goals • Identify trends in claims data, improve claims management • Analyze risk, coverage, and program structure for clients • Provide analytics advisory services and develop new tools
• BS/BA in insurance & risk management, actuarial science, business administration, accounting, finance, economics, mathematics, statistics • 2 to 5 years of insurance analytics experience • Proficiency in Microsoft Office Products, including Excel and PowerPoint • Strong interpersonal and effective communication skills • Property & Casualty underwriting experience with a focus on analytics • Property & Casualty Actuarial experience • Knowledge of property & casualty insurance analytics concepts and tools
• Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote Work • Charitable contribution match programs • Stock purchase opportunities
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