Catastrophe Risk Analyst

Willis Towers Watson; City Of London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

25 days annual leave

Hybrid working options

Private health care

Life insurance

Group income protection

Pension with matched contributions

Job summary

Willis Towers Watson plc in London seeks a senior data & analytics professional to lead the Large & Complex catastrophe modelling team. You will quantify catastrophe and non-catastrophe risk, manage client data, and partner with brokers to deliver industry-leading analytics.

You will communicate with senior leadership, oversee timelines, and drive delivery excellence. A maths/science background, strong Python/SQL skills, and GIS familiarity are essential for success.

Qualifications

• Degree in maths, statistics, engineering or natural sciences.
• Masters preferred.
• Proven track record in broking or underwriting analytics.
• Strong communication with senior leadership.
• Proficient in Python and SQL.
• Experience with GIS software (ArcGIS) is a plus.

Responsibilities

• Manage workflow and timelines for large client deliveries.
• Quantify catastrophe risk using vendor models.
• Quantify non-catastrophe risk with proprietary methods.
• Operate geo-visualisation tools including ArcGIS.
• Evaluate updates to models and outputs.
• Communicate results to modellers, brokers, clients and (re)insurers.
• Lead delivery of a team within a broking/underwriting context.

Skills

Python

SQL

Data analysis

Catastrophe modelling

Leadership

Stakeholder communication

GIS

Problem solving

Education

Master's degree in mathematics, statistics, engineering or natural sciences

Bachelor's degree in a quantitative field

Tools

ArcGIS

Vendor catastrophe models

Excel

Job description

Job Description

In this role, the individual will work closely with Brokers in the Global Markets Direct and Facultative team to deliver market leading analytics. The Direct & Fac Data and Analytics team offer a wide range of analytical support to the broking team in order to secure the best results for our clients. Typical analytical support includes data management, catastrophe modelling, exposure management, financial modelling, and bespoke analytics. The focus of our team is to provide brokers with a deeper understanding of their client's risk from natural and man‑made perils, in turn calculating premium indications from such analysis.

On a day-to-day basis, the individual will be responsible for leading the Large & Complex catastrophe modelling team in processing and auditing client data, running client portfolios against state-of-the-art catastrophe models, synthesising the results and demonstrating strong engagement with the broking team.

They will be required to take a methodical approach to problem solving and be proactive in meaningfully contributing to the success of D&F. They will also need excellent management skills as they oversee the prioritization and timing of account analysis, ensuring both timely and best in class deliveries. Joining the company with a maths, statistics, engineering or natural sciences degree (ideally Masters), they also require the ability to effectively communicate with senior leadership and lead the delivery of a team.

The Role:

The individual will be expected to perform as a part of their role:

• Managing the workflow and timeframes of delivery of large clients both new and renewal.
• Quantify the catastrophe risk using vendor catastrophe models
• Quantify the non-catastrophe risk using proprietary modelling methods
• Operation of geo‑visualisation tools including Arc GIS
• Understand and evaluate the impact of updates and revisions to models and the outputs produced
• Communicate results effectively to all stakeholders (i.e. modellers / brokers / clients / (re)insurers)
• Work closely with all stakeholders throughout the risk quantification process
• Real‑time reporting and analysis of natural catastrophes

Qualifications

What you'll bring:

• Proven track record of exceeding performance expectations
• Highly proactive, with a passion to deliver industry‑leading results
• Extensive years of experience working directly in a broking or underwriting team
• Track record of delivering property facility analytics
• A natural team‑leader, committed to close collaboration with colleagues across the department
• Experience in at least one vendor model
• Strong academic qualifications in mathematics or science
• Strong problem‑solving skills and keen attention to detail
• Excellent IT skills, along with Python and SQL
• Experience with process optimisation
• Experience and working knowledge of GIS software e.g. ArcGIS, an advantage
• Ability to process and understand data quickly and creatively
• Highly motivated to learn and grow within a global market leader

What We Offer

• Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
• We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community.
• On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle‑to‑work programme, dental and optical cover, critical illness protection, and much more.

Equal Opportunity Employer

We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email [e-mail]