Senior Catastrophe Risk Analyst

Willis Towers Watson; Ipswich, London; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading company in the insurance sector is seeking an analytical professional to work closely with brokers in risk management. The role involves data management, catastrophe modelling, and providing insights into clients' risk exposure, requiring a strong understanding of insurance markets and excellent problem-solving skills. Ideal candidates will have a degree in engineering, maths or natural sciences, and experience in relevant analytical tools.

Qualifications

• Understanding of London/global insurance markets and (re)insurance business.
• Experience with SQL is essential, experience with R/Python an advantage.
• The ability to process and understand data quickly and creatively.

Responsibilities

• Managing, auditing, processing and analysing portfolio data.
• Preparation of data for modelling and quantifying catastrophe risk.
• Communicating results effectively to all stakeholders.

Skills

Problem-solving skills

Attention to detail

Excellent communication skills

IT skills

Experience with SQL

Experience with GIS software

Education

Engineering, Maths or Natural Sciences Degree (ideally Masters)

Tools

ArcGIS

Power BI

R

Python

Job description

Description

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

The Role

In this role, the individual will work closely with Brokers in the Global Markets Direct and Facultative team. The individual will be required to offer a wide range of analytical services including data management, catastrophe modelling, exposure management, financial modelling, and bespoke analytics. The focus of our service is to provide Brokers with a deeper understanding of their clients’ risk from natural and man-made perils such as windstorm, earthquake, severe convective storm, flood and wildfire.

On a day-to-day basis, the successful candidate will be involved in processing and auditing client data, running client portfolios against state-of-the-art internal and external computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the subject.

Principle Duties

This is a general summary of the duties the successful candidate will be expected to perform as a part of the team, and your role, you will:

• Managing, auditing, processing and analysing portfolio data
• Preparation of data for modelling
• Quantify the catastrophe risk using vendor catastrophe models
• Operation of geo-visualisation tools including Arc GIS
• Contribute to the Global Markets Direct and Fac Analytics service offering development
• Understand and evaluate the impact of updates and revisions to models and the outputs produced
• Communicate results effectively to all stakeholders (i.e. cat modellers / brokers / clients/ (re)insurers)
• Work closely with all stakeholders throughout all aspects of the risk quantification process
• Real-time reporting and analysis of natural disasters and supporting clients’ post-event
• Support junior members in the team through training and advice.

Qualifications

The Requirements

Skills & Attributes

• An understanding of London/global insurance markets and (re)insurance business
• Excellent working knowledge of at least one vendor model (RMS preferable)
• Excellent understanding of the underlying perils science and model components
• Strong problem-solving skills and keen attention to detail
• Excellent IT skills, Power BI an advantage
• Experience with SQL is essential, R/Python an advantage
• Experience with process optimisation
• Experience and working knowledge of GIS software e.g. ArcGIS, an advantage
• Excellent communication skills
• Ability to process and understand data quickly and creatively
• The ability to work in a team
• Highly motivated to learn and grow within a global market leader

The Application Process

• Stage 1: Online application and recruiter review
• Stage 2: Recruiter Screening Call
• Stage 3: 1st Round Interviews – Competency format.
• Stage 4: 2nd Round Interviews – Competency format.
• Stage 5: Offer and onboarding

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please [e-mail].