Senior Catastrophe Risk Analyst - AI-Driven Modelling

WTW group; Ipswich; Hybrid; GBP 46,000 - 75,000; Full time

Benefits offered by this job

25 days annual leave

Private healthcare

Life insurance

Group income protection

Pension with matched contributions up

Hybrid working

Volunteer day

Electric vehicle scheme

Job summary

WTW is seeking a data & analytics specialist to support the Global Markets Direct and Facultative teams, delivering market-leading analytics, AI training, catastrophe modelling, exposure management and bespoke analytics to help secure the best results for clients.

You will leverage Python, SQL and GIS tools to analyse portfolios, automate processes and synthesize outputs for brokers, with a focus on real-time catastrophe insights and pricing support.

Qualifications

• Strong academic background in Data & Analytics and AI.
• Experience in broking or underwriting teams is desirable.
• Excellent Python and SQL skills with GIS knowledge.
• Proactive team player with attention to detail.

Responsibilities

• Manage, audit, process and analyse AI portfolio output for model ingestion.
• Run vendor catastrophe models and test their outputs.
• Operate ArcGIS and other geo-visualisation tools.
• Evaluate model updates and communicate results to stakeholders.
• Collaborate with pricing teams throughout the process.
• Provide real-time reporting and analysis of natural catastrophes.

Skills

Data & Analytics

AI

Python

SQL

Problem solving

Team collaboration

Attention to detail

Education

Master's degree in Maths/Statistics/Engineering/Natural Sciences

Bachelor's degree in STEM

Tools

ArcGIS

Job description

WTW is seeking a data & analytics specialist to support the Global Markets Direct and Facultative teams, delivering market-leading analytics, AI training, catastrophe modelling, exposure management and bespoke analytics to help secure the best results for clients.

You will leverage Python, SQL and GIS tools to analyse portfolios, automate processes and synthesize outputs for brokers, with a focus on real-time catastrophe insights and pricing support.