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Senior Retro Broker

Willis Re

Hamilton, Canada

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Job Description

Position Overview

The Senior Property Retrocession Broker is responsible for structuring, negotiating, and placing complex retrocession programs for global reinsurance clients. This role requires deep market expertise, strong analytical capability, and well‑developed relationships across Bermuda and international reinsurance markets. Reporting to the Head of Retro in Bermuda, we are seeking an individual who collaborates effectively with others, communicates openly, and works well in a team environment.

Key Responsibilities

Client & Portfolio Management

Be able to lead the design, structuring, and placement of proportional, excess‑of‑loss, and alternative reinsurance solutions.
Analyze client exposures, risk tolerances, and capital needs to develop effective retro programs
Prepare and deliver renewal strategies, pricing analyses, and market submissions
Maintain long‑term, trust‑based relationships with senior underwriting, actuarial, and executive stakeholders
Lead negotiations with global reinsurers, managing the full placement process from initial approach to final contract binding
Represent clients' interests in complex or high‑pressure negotiation environments

Technical & Analytical Expertise

Interpret catastrophe model outputs, exposure data, and portfolio analytics to inform structuring decisions
Collaborate with analytics, actuarial, and catastrophe modelling teams to refine placements
Review wordings and contract documentation for accuracy, clarity, and compliance
Provide insight into regulatory changes, rating agency requirements, and capital considerations affecting retro markets

Business Development

Identify and pursue opportunities for new business or expanded service offerings
Support the development of innovative retro solutions
Contribute to thought leadership, market commentary, and client education materials

Internal Leadership

A team player with ability to address issues constructively
Mentor junior brokers, analysts, and support teams
Drive high‑quality client servicing standards and internal process improvements
Collaborate cross‑functionally to support group objectives and revenue targets

Skills & Qualifications

Previous experience in reinsurance, ideally with specific retrocession expertise
Strong understanding of property and property‑catastrophe reinsurance structures
Advanced negotiation skills and deep market relationships with global reinsurers
High level of comfort with exposures, catastrophe modelling concepts, and capital implications
Excellent communication, presentation, and client‑facing skills
Ability to manage complex placements under tight timelines
Experience working with collateralized markets or alternative capital providers
Degree in Business, Finance, Risk Management, or related field; professional designations (e.g., ACII) beneficial

About Willis Re

We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.

At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.

The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.

Willis Re will also leverage recognized technical expertise from WTW's Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW's Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
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