SVP, Senior Client Advisor - Actuarial

  • Marsh and McLennan
  • New York, NY, United States

Job Description

SVP, Senior Client Advisor

What to expect:

You will develop analysis and solutions across growth, capital and volatility.  You will utilize your background in primary level pricing, modeling, and underwriting expertise to work with clients directly on their day to day needs. 

What's in it for you?

  • A company with a strong Brand and strong results to match.
  • Culture of internal mobility, collaboration and valued partnership throughout business.
  • Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities and interactions with counterparts in industry groups and client organizations.
  • Competitive pay (salary and bonus potential), Full benefits package – starting day one (medical, dental, vision, STI/LTI, life insurance, generous 401k match AND contribution.
  • After six months, eligible for up to $10k tuition reimbursement per year and participation in our Employee Stock Purchase Plan.

We will count on you to:

  • Independently oversee and manage large or complex accounts and bring the entire team together to formulate the procedure and go-to-market strategy.
  • Work to maintain a near complete understanding of the clients’ business strategic priorities, risk strategies and risk management needs to provide advice accordingly to successfully serve clients.
  • Utilize high level risk expertise and knowledge of industry and insurance market place to review clients’ exposures and loss experience and develop solutions for complex clients’ needs, including recommending additional products and services as solutions.
  • Develop, present, and oversee the execution of renewal/placement strategies in conjunction with Placement, Advisory Leaders and Client Executives across all zones where product, industry or account criteria dictate.
  • Presents to prospective clients, identify the need for new products, develop/suggest innovative solutions to client and client team members to gain new clients and projects.
  • Build and maintain relationships with clients, and ensures that their complex risk management needs are appropriately met.
  • Oversee the production of client deliverables and deliver the final placement to the client to ensure the quality of materials delivered to clients.
  • Engage in independent senior-level client interaction and demonstrate proficiency in problem solving, areas of coverage and client relationships.
  • Serve as a thought leader within the Company and maintain an in depth knowledge of changing risk and insurance market conditions.

What you need to have:

  • Minimum ACAS, preferably FCAS; at least 10 years in the industry
  • Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field
  • Capital modeling and / or predictive modeling skills
  • Also open to candidates with catastrophe modeling backgrounds who have experience using cat model output in primary insurance product development. 
  • Experience running projects and designing solutions in a primary P&C insurance or reinsurance underwriting environment.


Guy Carpenter & Company, LLC is a leading global risk and reinsurance specialist with more than 3,100 professionals in over 60 offices around the world. Guy Carpenter delivers a powerful combination of broking expertise, trusted strategic advisory services and industry-leading analytics to help clients adapt to emerging opportunities and achieve profitable growth. Guy Carpenter is a business of Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people. The company’s 75,000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading companies including Marsh, Mercer and Oliver Wyman. For more information, visit www.guycarp.com and follow Guy Carpenter on LinkedIn and Twitter @GuyCarpenter

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