Analyst II – Catastrophe Risk Management

Marsh McLennan

. Manage catastrophe modeling projects from start to finish .

Posted 10/9/2026full-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 data management skills and the ability to communicate complex analyses effectively to clients and brokers. Proven experience in the reinsurance industry, with a collaborative approach to project management and client relations.

Highest-signal resume keywords

Catastrophe ModelingData ManagementPythonReinsurance ExperienceAnalytical Problem-Solving

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Catastrophe ModelingData ManagementData BricksMS SQLPythonRMachine LearningAI TechniquesAnalytical SkillsAttention to Detail

Soft Skills

Communication SkillsInterpersonal SkillsCollaborative ApproachProactive MindsetAdaptability

Industry Keywords

ReinsurancePortfolio ManagementUnderwriting SupportPricing AdequacyClient Relations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage catastrophe modeling projects from start to finish
Ensure 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 region-specific and/or peril-specific catastrophe risk management expertise through research, training, and hands-on experience
Support clients and broking operations within 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 standout qualification
Experience at a reinsurance broker is a standout qualification
Practical experience applying AI techniques, including machine learning and modern large-language models, is a standout qualification

Benefits

Comp & perks

Professional development opportunities
Health and welfare benefits
Tuition assistance
401K savings
Other retirement programs
Employee assistance programs
Hybrid work with flexibility to work remotely
Competitive total rewards package
Performance-based incentives may be available