Marsh McLennan

Actuarial Analyst

Marsh McLennan

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $80,000 - $85,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSpringSQL

About the role

  • Organize, validate, and ensure the quality of complex client data, integrating it into advanced predictive models
  • Run models, interpret results, and craft clear, compelling narratives to help clients understand their risk profiles and inform strategic decisions
  • Perform critical calculations to assess risk exposures and forecast outcomes, supporting the reinsurance transaction process
  • Conduct research on industry trends and regulatory developments to evaluate their impact on loss liabilities and client portfolios
  • Contribute to high-impact discussions with clients, providing expert insights and innovative reinsurance strategies
  • Build and maintain strong relationships with brokers, clients, reinsurers, and colleagues, ensuring prompt and effective communication
  • Stay informed on industry-specific and specialty trends that could influence reinsurance programs and calculations
  • Leverage proprietary MetaRisk software to develop and optimize bespoke reinsurance transactions, evaluating their impact on clients’ capital, growth, and volatility objectives
  • Proactively identify opportunities to enhance client outcomes through technical expertise and strategic analysis
  • Collaborate within cross-functional teams to deliver strategic insights to large insurance companies worldwide

Requirements

  • Progress toward a Bachelor’s degree with expected graduation Winter 2025 or Spring 2026 in Actuarial Science, Data Science, Engineering, Physics, Mathematics, or Statistics
  • Curious and proactive mindset with ability to lead internal initiatives and research projects
  • Excellent communication and presentation skills, ability to simplify complex technical analysis and concepts for brokers and clients
  • Collaborative, team-oriented attitude and effective interpersonal skills
  • Strong organizational skills and meticulous attention to detail
  • Ability to manage and advance multiple projects simultaneously
  • Proficiency in MS Excel and skills in other MS Office applications
  • Legal work authorization to work in the U.S. on a permanent and ongoing basis without sponsorship now or in the future
  • Willingness/ability to work hybrid with at least three days per week in the office at listed locations
  • Preferred: Completion of 1–2 Casualty Actuarial Society (CAS) exams
  • Preferred: Familiarity with R, Python, SQL, Alteryx, Power BI or other programming/visualization tools
  • Preferred: Experience in technical role at a reinsurance broker, market, or catastrophe model software vendor
  • Preferred: Prior experience in insurance/reinsurance and understanding of reinsurance industry and product lines
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