Lead Catastrophe Risk Analyst – Modelling & Analytics

WTW; City Of London; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

25 days annual leave + extra WTW day

Private healthcare

Life insurance

Pension with matched contributions up

Hybrid work options

Volunteer day

Job summary

WTW is seeking a senior analytics professional to join the Global Markets Direct and Fac/Direct Data and Analytics team. You will lead the Large & Complex catastrophe modelling workstreams, oversee client data processing, and deliver timely, high-quality analytics for brokers and clients.

You will quantify risks using vendor models and proprietary methods, engage with stakeholders, and ensure accurate reporting. A strong maths/science background and leadership skills are essential.

Qualifications

• Proven track record of delivering analytics in broking or underwriting teams.
• Experience with catastrophe modelling and data analysis for large client portfolios.
• Strong technical skills in Python and SQL.
• Ability to communicate complex results to senior stakeholders.
• Experience with GIS tools such as ArcGIS is advantageous.
• Degree in maths or science, ideally with a masters.

Responsibilities

• Lead workflow and timing for delivery to large clients (new and renewal).
• Quantify catastrophe risk using vendor models.
• Quantify non-catastrophe risk with proprietary methods.
• Operate geo-visualisation tools including ArcGIS.
• Evaluate impact of model updates on outputs.
• Communicate results to modellers, brokers, clients and (re)insurers.
• Provide real-time reporting and analysis of natural catastrophes.

Skills

Catastrophe modelling

Python

SQL

Data management

Leadership

Stakeholder communication

GIS

Education

Maths or science degree

Tools

ArcGIS

Job description

WTW is seeking a senior analytics professional to join the Global Markets Direct and Fac/Direct Data and Analytics team. You will lead the Large & Complex catastrophe modelling workstreams, oversee client data processing, and deliver timely, high-quality analytics for brokers and clients.

You will quantify risks using vendor models and proprietary methods, engage with stakeholders, and ensure accurate reporting. A strong maths/science background and leadership skills are essential.