Analyst II – Catastrophe Risk Management

Marsh McLennan

. Manage catastrophe modeling projects from start to finish, ensuring timely completion and high-quality deliverables .

Posted 10/6/2026full-timeUnited StatesJuniorMid-Level💰 $65,600 - $108,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in catastrophe modeling and risk management, with strong analytical skills and the ability to communicate complex data insights effectively to clients and stakeholders. Proven experience in managing multiple projects and fostering collaborative relationships within the reinsurance industry.

Highest-signal resume keywords

Catastrophe ModelingData ManagementPythonReinsurance ExperienceAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Catastrophe ModelingData ManagementData BricksMS SQLPythonRAnalytical SkillsAttention to DetailFinancial AptitudeAI Techniques

Soft Skills

Communication SkillsInterpersonal SkillsCollaborative ApproachProactive MindsetAdaptability

Industry Keywords

ReinsurancePortfolio ManagementUnderwriting SupportPricing AdequacyAnalytics and Advisory

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage catastrophe modeling projects from start to finish, ensuring timely completion and high-quality deliverables
Contribute to client discussions regarding reinsurance strategy, underwriting support, pricing adequacy, and portfolio management
Build and maintain relationships with brokers, clients, reinsurers, and colleagues
Respond promptly to client questions and concerns
Develop expertise in region-specific and/or peril-specific catastrophe risk management services through research, training, and hands-on experience
Support clients and broking operations through the Analytics and Advisory department

Requirements

What you’ll need

2+ years of experience with various catastrophe models and a broad range of insurance segments
Strong data management skills, including manipulating, interpreting, and extrapolating complex data
Experience with Data Bricks, MS SQL, Python, and R
Superior communication and presentation skills
Ability to translate complex technical analysis into clear terms for brokers and clients
Strong analytical, problem-solving, and attention-to-detail skills
Financial aptitude and fundamental knowledge of the reinsurance industry
Curious, proactive, and adaptable mindset
Ability to learn quickly, lead internal initiatives and research projects to completion, and grow beyond current capabilities
Collaborative, team-oriented approach with strong interpersonal skills
Ability to manage multiple projects at the same time
Reinsurance experience is a preferred differentiator
Experience at a reinsurance broker is a preferred differentiator
Practical experience applying AI techniques, including machine learning and modern large-language models, is a preferred differentiator

Benefits

Comp & perks

Professional development opportunities
Supportive leaders
Inclusive and flexible work environment
Flexible remote work arrangement within hybrid work model
Health and welfare benefits
Tuition assistance
401K savings
Other retirement programs
Employee assistance programs
Performance-based incentives may be available