Dan Madsen Email & Phone Number

Cincinnati, Ohio

Fairfield, Ohio

Greater Minneapolis-St. Paul Area

• Primary role is as a risk advisor with responsibilities focused on delivering executable solutions contributing to client initiatives.
• Engaged directly with a client’s risk management staff to develop a deterministic model for the Joplin tornado. The solution allowed for the Joplin tornado footprint to be scanned over any portfolio of exposures and.
• Worked with product managers and underwriters at a client to develop a marketing plan for new product lines. Quantified the modeled loss impact each prospective product had on their existing portfolio related to.
• Lead an initiative using catastrophe models to structure, price and quantify basis risk for county weighted ILWs. This analysis framework was used to place BMS’ first county weighted ILW.
• Presented at several industry conferences covering topics focused on the impact of data quality on catastrophe model loss estimates, the use of analytic tools to manage exposure concentrations, and leveraging.
• Key contributor in introducing standardized processes, more efficient hardware deployment to support AIR, RMS and EQE catastrophe models, and in defining standardized client deliverables packages.

Greater Minneapolis-St. Paul Area

• Led and mentored a team of seven analysts responsible for delivering catastrophe modeling and analytics for more than 15 clients.
• Performed all catastrophe modeling required to support the placement of per risk, quota share and catastrophe excess of loss treaties for two global, large account E&S carriers. Additionally developed technical pricing.
• Subject matter expert in the development of web based reinsurance treaty pricing application. The application was delivered to the entire cat modeling team and expanded the capabilities to analyze a more robust suite.

Greater Minneapolis-St. Paul Area

• Responsible for executing all analytical support for workers’ compensation clients.
• Performed sensitivity testing and validation of RMS damage factors for various workers’ compensation occupancy classes to temporal assumptions. The analysis aided the client in defining specific modeling assumptions by.
• Delivered custom solution for a client’s underwriters, which allowed them to quantify real-time exposure aggregations surrounding prospective policies.
• Established a process and suite of tools to more efficiently respond to the terrorism section of the AM Best SRQ for workers’ compensation clients.

Greater Minneapolis-St. Paul Area

• Managed a team of 15 catastrophe risk analysts performing catastrophe modeling for both reinsurance and retail insurance branches.
• Performed catastrophe model sensitivity and validation analysis for hurricane secondary risk characteristics for a large Florida carrier.
• Collaborated with retail insurance representatives to develop a modeling process focused on reduced delivery timelines and standardized outputs. This process was implemented and reduced the analysis time from weeks to.
• Contributed to designing, testing, and implementing Willis’ first externally released, web-based GIS platform. Provided training for internal and external users and shared feedback with the development team.

Greater Minneapolis-St. Paul Area

• Leverage catastrophe models to quantify clients’ exposure to natural catastrophes.
• Performed data validation and advised clients regarding data quality and the impact to modeled losses of missing and/or erroneous data.
• Assisted companies in fulfilling regulatory filing requirements for A.M. Best.
• Participated in testing and deployment of an internally developed catastrophe model and performed several client analyses using the model.