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Marsh McLennanHead of Actuarial Advisory, North America
AI in this role
Head of actuarial advisory incorporating AI capabilities into core analytics workflows and risk quantification strategies.
Company:
MarshDescription:
Drive the transformation of our capabilities to establish Marsh Re as the unquestioned leader in risk quantification, risk insights, and risk transfer advice.
Team Commercial Impact
- Transform the actuarial role at Marsh Re from process-oriented modeling to delivering consultative advice that drives commercial impact.
- Create segment-based analytics value propositions that are closely aligned to client needs and broking growth priorities.
- Develop a modern analytical narrative for evaluating risk transfer decisions and implement that approach consistently across all our placements.
- Help the firm capitalize on the rise of alternative risk transfer structures by improving our ability to engage in modern risk transfer decision frameworks.
- Design scaled approaches to harnessing the organization’s data assets and weaving them into our core analytics delivery to drive commercial impact.
Personal Commercial Impact
Drive revenue outcomes by serving as the Strategic Analytics Lead on specific clients and prospects, to be determined based on your conflicts. This role requires that you:
- Provide each client/prospect with a consistent and credible senior analytics presence across all lines of business.
- Establish and maintain a clear analytics framework, across all transactions, that is connected to the strategic objectives of the client.
- Ensure consistent messaging, process, and execution across the transaction-specific actuaries and modelers.
- Support revenue outcomes by identifying trends in the client’s strategy and delivering solutions.
- Maintain strong relationships with client and broking stakeholders.
- Support thought leadership, executive briefings and market-facing content that strengthens the firm’s reputation and creates commercial openings.
- Build relationships with key decision makers across our global client base, professional bodies, strategic partners, and prospective talent sources.
- Develop a network across the Marsh enterprise that enables you to connect solutions and subject matter experts to client challenges.
Operational Strategy
- Incorporate the organization’s AI capabilities into the core analytics workflow, with the goal of providing deeper insights to more clients and driving scale through automation.
- Identify opportunities for commercial differentiation through analytical insights, and partner with the Global Analytics Platform team to set tool development priorities that support the delivery of those insights at scale.
- Establish and drive consistent processes and tool utilization to refocus the team on commercial impact and support our tool-driven data aggregation strategy
- Partner with broking department to set client priorities, ensuring resource alignment with account needs.
People Strategy
- Create the conditions that promote a culture of elite performance, collaboration, personal growth, and innovation.
- Continue the expansion of our India-based support team, with the objective of establishing it as a global center of excellence for actuarial modeling.
- Partner with Human Resources to design a recruitment strategy that secures talent that is suited to your vision.undefined
How we rate this
Head of Actuarial Advisory, North America at Marsh McLennan rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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 risk quantification was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Actuarial Science, Risk Quantification, Analytics, Data Strategy, and Stakeholder Management. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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