SVP, Actuarial Advisor
Marsh McLennan is hiring an SVP, Actuarial Advisor in Philadelphia, United States. Level rates it ; you can apply on Marsh McLennan.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Power BI, Tableau and Alteryx.
- Level classifies it as a senior role.
- Level lists 647 other open roles at Marsh McLennan.
AI in this role
Provide strategic actuarial advice, risk modeling, and reinsurance solutions for global clients and broking teams.
Company:
Guy CarpenterDescription:
Guy Carpenter (GC) is seeking an SVP Actuarial Advisor who will serve as a strategic partner to brokers and clients, collaboratively identifying and delivering effective solutions to client challenges. The SVP Actuary will work closely with broking teams to ensure optimal use of analytical resources, address client needs, and enhance the value GC Analytics brings to client relationships. As a senior leader, you will engage directly with clients to discuss risks, concerns, and potential solutions, leveraging your expertise and broad reinsurance market knowledge—even in the absence of a full actuarial data review. By partnering with brokers, you will actively contribute to problem-solving discussions, providing insights that extend beyond traditional actuarial analysis to drive meaningful client outcomes. This is a hybrid role (3 days a week in office, 2 days a week remote).
SVP, Actuarial Advisor
We will count on you to:
Act independently to propose actuarial services and valuations to clients, addressing their current and future needs to help mitigate risk.
Modify complex specialty models and propose value-added models to brokers and clients to assess risk exposure, forecast risks, losses, and financial impact.
Expand client services beyond reinsurance transactions to drive business development.
Direct a team to build complex specialty models to assess risk and develop pricing strategies for a range of risk exposures.
Advise senior management regularly on issues and progress to ensure smooth reinsurance transaction processes.
Communicate strategically with brokers, reinsurers, and clients to anticipate client needs and promote the use of reinsurance actuarial services.
What you need to have:
Minimum ACAS designation, preferably FCAS, with at least 7-10 years of industry experience.
Bachelor’s degree in Actuarial Science, Economics, Mathematics, Statistics, or a related field.
Experience in pricing, valuation, and/or capital modeling.
Strong proficiency in Microsoft Office suite.
Visualization skills using Power BI, Tableau, or similar tools.
Excellent verbal and written communication skills.
Coding experience in programming languages such as Alteryx, R, Python, VBA, or SQL.
Comfortable working collaboratively in interactive teams with brokers and clients.
Ability to lead day-to-day project activities and make decisions to keep projects on track.
Strong problem-solving skills.
What makes you stand out:
Experience in reinsurance.
Experience in Financial Lines such as Errors & Omissions (E&O) and Directors & Officers (D&O) insurance.
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
How we rate this
SVP, Actuarial Advisor at Marsh McLennan rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where actuarial science was part of your work. What did you do?
- Tell me about a project where reinsurance was part of your work. What did you do?
- Tell me about a project where risk modeling was part of your work. What did you do?
- Tell me about a project where pricing was part of your work. What did you do?
- Tell me about a project where valuation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Actuarial Science, Reinsurance, Risk Modeling, Pricing, and Valuation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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