Hybrid Senior Catastrophe Risk Analyst (AI & Modelling)

WTW; Ipswich; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

25 days annual leave

Extra WTW day

Hybrid working options

Private healthcare

Life insurance

Group income protection

Annual health assessments

Pension scheme (matched up to 10%)

Employee assistance programme

Volunteer day

Electric vehicle car scheme

Share scheme

Cycle-to-work

Dental cover

Optical cover

Critical illness protection

Job summary

WTW in Ipswich is seeking a data and analytics professional to support the Direct & Fac Data and Analytics team. You will leverage AI to accelerate property data processing, run portfolio analyses against catastrophe models, and automate manual workflows.

A maths/statistics/engineering/natural sciences background (Masters preferred) and AI experience are desired. You will collaborate with brokers and modellers, apply geo-visualisation tools, and contribute to pricing with proactive problem

Qualifications

• 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.

Responsibilities

• 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

Skills

Python

SQL

Data & Analytics

AI

Problem solving

Teamwork

Education

Masters in maths/statistics/engineering/natural sciences

Tools

ArcGIS

Job description

WTW in Ipswich is seeking a data and analytics professional to support the Direct & Fac Data and Analytics team. You will leverage AI to accelerate property data processing, run portfolio analyses against catastrophe models, and automate manual workflows.

A maths/statistics/engineering/natural sciences background (Masters preferred) and AI experience are desired. You will collaborate with brokers and modellers, apply geo-visualisation tools, and contribute to pricing with proactive problem