Senior Catastrophe Risk Analytics Lead

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

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.