Director, Catastrophe Analytics & Risk Modeling

Howden Re; Edina (MN); On-site; USD 130,000 - 190,000; Full time

Job summary

Howden Re is seeking an experienced Director on the Catastrophe Analytics team in the United States. You will lead catastrophe modeling efforts, apply outputs from catastrophe models, and advise clients on risk transfer strategies.

You will collaborate with colleagues to deliver innovative analytics in a results-driven environment. Ideal candidates have 8+ years in catastrophe modeling, strong data analysis skills, and experience with Verisk Touchstone or RMS RiskLink.

Qualifications

• 8+ years of catastrophe modeling and risk management experience.
• Strong data analysis and visualization skills with SQL, Excel, Python, and R.
• Familiar with cat modeling software and model methodology.
• Knowledge of property insurance and reinsurance; ARe designation is a plus.
• Legally authorized to work in the US.

Responsibilities

• Execute all aspects of catastrophe modeling, including data preparation, validation, portfolio analysis, reporting, and visualization.
• Respond to queries on property exposure data, real-time events, risk view, profitability and optimization.
• Use proprietary software to design and manage catastrophe reinsurance programs.
• Improve analytical processes for greater efficiency and client results.
• Build strong relationships with colleagues, clients and reinsurers.

Skills

Catastrophe modeling

Data analysis

SQL

Python

Power BI

ArcGIS

Communication

Education

Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science, Economics, Finance or similar analytical major

Tools

Verisk Touchstone

RMS RiskLink

Job description

Howden Re is seeking an experienced Director on the Catastrophe Analytics team in the United States. You will lead catastrophe modeling efforts, apply outputs from catastrophe models, and advise clients on risk transfer strategies.

You will collaborate with colleagues to deliver innovative analytics in a results-driven environment. Ideal candidates have 8+ years in catastrophe modeling, strong data analysis skills, and experience with Verisk Touchstone or RMS RiskLink.