Hybrid Catastrophe Risk Analyst II: Modeling & Advisory

Marsh

New York (NY)

Hybrid

USD 66,000 - 108,000

Full time

27 hours ago
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Benefits offered by this job

Health benefits
Tuition assistance
401K savings
Employee assistance programs

Job summary

Marsh Re is seeking a talented analyst to join our Analytics and Advisory team in Philadelphia or New York. This hybrid role requires working at least three days a week in the office and involves managing catastrophe modeling projects from start to finish and contributing to client discussions on reinsurance strategy.

You will enhance region- and peril-specific catastrophe risk expertise, handle data with Data Bricks, MS SQL, Python and R, and build strong relationships with brokers and clients.

Qualifications

  • 2+ years of catastrophe modeling experience across insurance segments.
  • Strong data management skills with Data Bricks, MS SQL, Python and R.
  • Excellent communication and presentation abilities for brokers and clients.
  • Strong analytical, problem-solving and attention to detail with reinsurance knowledge.
  • Curious, proactive, adaptable, and able to lead internal initiatives.

Responsibilities

  • Manage catastrophe modeling projects from start to finish with timely delivery.
  • Support client discussions on reinsurance strategy, underwriting and portfolio management.
  • Build relationships with brokers, clients and reinsurers and respond to questions promptly.
  • Develop expertise in region- and peril-specific catastrophe risk through research and training.

Skills

Catastrophe modeling
Data analysis
Communication skills
Analytical thinking
Project management

Tools

Data Bricks
MS SQL
Python
R

Job description

Marsh Re is seeking a talented analyst to join our Analytics and Advisory team in Philadelphia or New York. This hybrid role requires working at least three days a week in the office and involves managing catastrophe modeling projects from start to finish and contributing to client discussions on reinsurance strategy.

You will enhance region- and peril-specific catastrophe risk expertise, handle data with Data Bricks, MS SQL, Python and R, and build strong relationships with brokers and clients.

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