Senior Catastrophe Risk Analyst — Hybrid & Data Analytics

Willis Towers Watson plc; City Of London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

25 days annual leave

Hybrid working options

Private health care

Life insurance

Group income protection

Pension with matched contributions

Job summary

Willis Towers Watson plc in London seeks a senior data & analytics professional to lead the Large & Complex catastrophe modelling team. You will quantify catastrophe and non-catastrophe risk, manage client data, and partner with brokers to deliver industry-leading analytics.

You will communicate with senior leadership, oversee timelines, and drive delivery excellence. A maths/science background, strong Python/SQL skills, and GIS familiarity are essential for success.

Qualifications

• Degree in maths, statistics, engineering or natural sciences.
• Masters preferred.
• Proven track record in broking or underwriting analytics.
• Strong communication with senior leadership.
• Proficient in Python and SQL.
• Experience with GIS software (ArcGIS) is a plus.

Responsibilities

• Manage workflow and timelines for large client deliveries.
• Quantify catastrophe risk using vendor models.
• Quantify non-catastrophe risk with proprietary methods.
• Operate geo-visualisation tools including ArcGIS.
• Evaluate updates to models and outputs.
• Communicate results to modellers, brokers, clients and (re)insurers.
• Lead delivery of a team within a broking/underwriting context.

Skills

Python

SQL

Data analysis

Catastrophe modelling

Leadership

Stakeholder communication

GIS

Problem solving

Education

Master's degree in mathematics, statistics, engineering or natural sciences

Bachelor's degree in a quantitative field

Tools

ArcGIS

Vendor catastrophe models

Excel

Job description

Willis Towers Watson plc in London seeks a senior data & analytics professional to lead the Large & Complex catastrophe modelling team. You will quantify catastrophe and non-catastrophe risk, manage client data, and partner with brokers to deliver industry-leading analytics.

You will communicate with senior leadership, oversee timelines, and drive delivery excellence. A maths/science background, strong Python/SQL skills, and GIS familiarity are essential for success.