Catastrophe Advisory (AVP or VP) at MMC in New York, New York

Talented Individual Opportunity At Guy Carpenter

We are seeking a talented individual to join our team at Guy Carpenter. This role will be based in New York, Philadelphia, Edina, Atlanta, Chicago, Boston, or Dallas. This is a hybrid role that has a requirement of working at least three days a week in the office. The Analytics and Advisory department within Guy Carpenter acts in support of clients and broking operations. We will count on you to:

1. Manage catastrophe modeling projects from start to finish, ensuring timely completion and high-quality deliverables.
2. Contribute to meaningful and insightful client discussions regarding reinsurance strategy, underwriting support, pricing adequacy, and portfolio management.
3. Build and maintain strong relationships with brokers, clients, reinsurers, and colleagues, while helping to respond promptly to client questions and concerns.
4. Develop expertise in region-specific and/or peril-specific areas of catastrophe risk management services through research, training, and hands-on experience.

What you need to have:

• 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 using tools such as Data Bricks, MS SQL, Python, and R.
• Superior communication and presentation skills, with the ability to translate complex technical analysis into clear terms for brokers and clients.
• Strong analytical, problem-solving, and attention-to-detail skills, with financial aptitude and fundamental knowledge of the reinsurance industry.
• Curious, proactive, and adaptable mindset with the 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 and the ability to manage multiple projects at the same time.

What makes you stand out?

• Reinsurance experience.
• Experience at a reinsurance broker.
• Practical experience applying AI techniques (including machine learning and modern large-language models) to automate processes.

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 an impact on 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.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting View email address on click.appcast.io. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. The applicable base salary range for this role is $79,500 to $145,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.