US Property Cat Rankings

Welcome to The Insurance Insider's US Property Cat Rankings survey 2020!

See below for the winners of the US Property Cat Rankings awards:

  • Rising broker of the year: Jack Hulston, Aon's Reinsurance Solutions
  • Rising star underwriter of the year: Jonny Law, MS Amlin
  • Most skilled broker of the year: Chris Lux, Aon's Reinsurance Solutions
  • Most skilled underwriter of the year: John Carty, RenaissanceRe
  • Catastrophe modelling company of the year: AIR Worldwide
  • Weather tool of the year: Weather Underground
  • US property cat claims team of the year: MS Amlin and RenaissanceRe
  • US property cat brokerage of the year: Aon's Reinsurance Solutions
  • US property cat underwriting firm of the year: Fidelis Insurance
  • US property cat broker of the year: Tim Martin, Guy Carpenter
  • US Property cat underwriter of the year: Richard Trubshaw, MAP
  • Outstanding contributor of the year: James Holliss, Chaucer

To view the video announcement of the awards click here.

Click here to download our 2020 US Property Cat Rankings report.

 


Top three US property cat brokers 2020

 

Overall rank 2020

Overall rank 2019

Overall rank 2018

Underwriter

Company

Overall vote count

Overall score

1 1 1 Tim Martin Guy Carpenter 14 28
2 2 3 Simon Rowland Aon's Reinsurance Solutions 10 23
3 2 2 Simon Keely Guy Carpenter 10 19

 

Top three US property cat underwriters 2020

 

Overall rank 2020

 Overall rank 2019

Overall rank 2019

Underwriter

Company

Overall vote count

Overall score

1 1 1 Richard Trubshaw Managing Agency Partners 20 49
2 2 3 Richard Holden Fidelis Insurance 10 28
3 4 5 John Carty RenaissanceRe 7 17

 

Click here to view the 2020 US Property Cat Report.

RANKINGS METHODOLOGY

The surveys

 

The Rankings surveys are two-way surveys by which underwriters nominate the best brokers and brokers nominate the best underwriters. They are typically open for six to eight weeks.

 

The Insights team has produced a series of rankings across different lines of businesses including Cyber, Political Risk, Political Violence, US Property Cat and D&O

  

Nominations and scoring

 

Each respondent is asked to nominate their top three market practitioners. Brokers nominate underwriters and vice versa.

 

The survey is individual-based so respondents only nominate and score the best professionals, not companies. Individual results, however, are aggregated to also derive company rankings.

 

Ranking results

 

The ranking of underwriters and brokers is calculated using a scoring method known as Borda count which assigns 3 points to any respondent’s top choice, 2 points to the second position and 1 point to the third place.

 

This method provides consistent weighting to each vote while accounting for voters’ order of preference, hence providing the best representation of market preferences. The Borda count is used extensively in other popular ranking awards such as the NBA's Most Valuable Player Award or the Eurovision Song Contest.

 

Attribute rating and testimonials

 

Apart from nominating the top three professionals, respondents are asked to mark them on specifically-defined attributes. These qualities define the best underwriting and broking practices and include things such as risk knowledge, effective communication, honesty, analytical skills and creativity.

 

There are six attributes defining the best underwriting practices and eight attributes defining the best broking practices, against which nominees are rated. Respondents are also invited to provide a statement with their main consideration behind each of their designations.

 

Response validation and data integrity

 

Complete confidentiality is offered to all participants, allowing for honest and trustworthy scores and testimonials.

Surveys are mainly conducted online but the data collection process is complemented with phone calls to ensure the required levels of participation. Time and IP tracking is combined with analyst validation of all individual records to ensure data integrity.

 

Participation and statistical significance

 

A screened list of potential respondents is used to track and monitor participation rates throughout the length of the survey. Minimum levels of participation are set so as to achieve a maximum error margin of 10% of overall scores at a 95% confidence level.

 

This means that the final sample size is sufficiently large so as to ensure that ranking scores remain unchallenged if the survey were to be run repeatedly.

 

This means that if we ran the survey one hundred times, and an individual was ranked 30th, 95 times out of a hundred they would be ranked between 27th and 33rd.