Senior Catastrophe Risk Analyst

WTW; England; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private healthcare

Life insurance

Group income protection

Pension scheme

Hybrid working options

Volunteer day

Employee share scheme

Cycle-to-work programme

Dental and optical cover

Job summary

WTW in the United Kingdom seeks a data and analytics professional to support the Global Markets Direct & Facultative team. You will leverage AI to accelerate property data processing, run portfolios against modern catastrophe models, and automate processes. Degree in maths/ statistics/ engineering or natural sciences is preferred, with AI experience.

The role focuses on problem-solving, collaboration with brokers and clients, and delivering industry-leading results within a global market leader.

Qualifications

• Masters degree in maths, statistics, engineering or natural sciences (ideally Masters).
• Experience in applying AI.
• Proven track record of exceeding performance expectations.
• Understanding of London/global insurance markets and (re)insurance business.

Responsibilities

• Managing, auditing, processing and analysing AI portfolio output, preparing it for model ingestion.
• Running vendor catastrophe models, including sensitivity testing their output.
• Operation of geo-visualisation tools including Arc GIS.
• Evaluating the impact of updates and revisions to models and the outputs produced.
• Communicate results effectively to all stakeholders (modellers / brokers / clients/ (re)insurers).
• Work closely with stakeholders throughout the pricing process.
• Real-time reporting and analysis of natural catastrophes.

Skills

Python

SQL

Data analytics

AI

Education

Masters in maths/statistics/engineering/natural sciences

Tools

ArcGIS

Job description

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, AI training, 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.

On a day-to-day basis, the individual will be involved in leveraging AI to help accelerate the processing of property data, running client portfolios against state-of-the-art catastrophe models, overseeing the automation of previously manual processes, and synthesising the results. They will be required to take a methodical approach to problem solving and be proactive in meaningfully contributing to the success of D&F. Joining the company with a maths, statistics, engineering or natural sciences degree (ideally Masters), and experience in the application of AI.

The Role:

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

• Managing, auditing, processing and analysing AI portfolio output, preparing it for model ingestion
• Running of vendor catastrophe models, including sensitivity testing their output
• Operation of geo-visualisation tools including Arc GIS
• Evaluating 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 pricing process
• Real-time reporting and analysis of natural catastrophes

Qualifications

What you'll bring:

• Proven track record of exceeding performance expectations
• Strong academics in the areas of Data & Analytics, and AI.
• Highly proactive, with a passion to deliver industry-leading results
• Experience of working in a broking or underwriting team
• A natural team-player, committed to close collaboration with colleagues
• An understanding of London/global insurance markets and (re)insurance business
• Strong problem-solving skills and keen attention to detail
• Excellent IT skills, including Python and SQL
• Experience with AI and process optimisation
• Experience and working knowledge of GIS software e.g. ArcGIS, an advantage
• 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. Start making the most of your career and wellbeing with a range of benefits tailored for you.

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