Lead Catastrophe Risk Analyst – Modelling & Analytics

WTW group; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave

Hybrid working options

Private healthcare

Life insurance

Group income protection

Pension scheme

Job summary

WTW group is seeking a senior analytics professional to lead the Large & Complex catastrophe modelling team within the Direct & Fac Data & Analytics function. You will manage client portfolios, run state-of-the-art catastrophe models, and translate results for brokers and clients.

You will have a strong maths or science background, hands-on Python/SQL skills, and experience in a broking or underwriting environment. Hybrid working with comprehensive benefits is offered.

Qualifications

• Proven track record of exceeding performance expectations.
• Extensive years of experience in a broking or underwriting team.
• Strong mathematical or scientific background.
• Excellent communication with senior leadership.

Responsibilities

• Manage workflow and timing of delivery for large clients (new and renewal).
• Quantify catastrophe risk using vendor catastrophe models.
• Quantify non-catastrophe risk using proprietary methods.
• Operate geo-visualisation tools including ArcGIS.
• Evaluate updates and revisions to models and outputs.
• Communicate results to modellers, brokers, clients and (re)insurers.
• Collaborate with stakeholders throughout risk quantification.

Skills

Python

SQL

Data analysis

Problem solving

Communication with leadership

Education

Masters in mathematics, statistics, engineering or natural sciences

Bachelor's degree in mathematics or science

Tools

ArcGIS

GIS software

Job description

WTW group is seeking a senior analytics professional to lead the Large & Complex catastrophe modelling team within the Direct & Fac Data & Analytics function. You will manage client portfolios, run state-of-the-art catastrophe models, and translate results for brokers and clients.

You will have a strong maths or science background, hands-on Python/SQL skills, and experience in a broking or underwriting environment. Hybrid working with comprehensive benefits is offered.