Associate Director, Catastrophe Analytics & R&D

hyperiongrp

Edina (MN)

On-site

USD 158,000 - 193,000

Full time

9 days ago
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Job summary

Howden Re is seeking an Associate Director for the Catastrophe Analytics R&D team in the United States. The role balances client service (25–50%) with R&D (50–75%), focusing on advising clients on catastrophe risk and advancing modeling capabilities.

Candidate will analyze, adjust, and validate catastrophe models, collaborate with a best-in-class analytics team, and support data-driven decision making for top client service. 4+ years in catastrophe modeling is required.

Qualifications

  • 4+ years experience in catastrophe modeling and risk management.
  • High level of proficiency in data analysis, manipulation, and visualization tools and program languages (SQL, Excel, R, Python, Power BI, ArcGIS).
  • Experience with cat modeling software (e.g. Verisk Touchstone, RMS RiskLink).
  • Knowledge of property insurance and reinsurance; ARe designation is a plus.

Responsibilities

  • Execute catastrophe modeling including data preparation, validation, and reporting of results.
  • Respond to queries from internal/external stakeholders on exposure data, real-time cat events, and risk view.
  • Communicate complex technical concepts to diverse stakeholders.
  • Use proprietary software to design and manage catastrophe reinsurance programs.
  • Validate catastrophe models using external data sources.
  • Build and maintain relationships with colleagues, clients, and reinsurers.

Skills

Catastrophe modeling
Data analysis
Stakeholder communication
Problem solving

Education

Bachelor's or advanced degree in Mathematics/Statistics/CS/Meteorology

Tools

SQL
Excel
R
Python
Power BI
ArcGIS

Job description

Howden Re is seeking an Associate Director for the Catastrophe Analytics R&D team in the United States. The role balances client service (25–50%) with R&D (50–75%), focusing on advising clients on catastrophe risk and advancing modeling capabilities.

Candidate will analyze, adjust, and validate catastrophe models, collaborate with a best-in-class analytics team, and support data-driven decision making for top client service. 4+ years in catastrophe modeling is required.

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