Catastrophe Risk Analyst/Senior Analyst

About Willis Towers Watson:

Willis Towers Watson (NASDAQ: WTW) is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 45,000 employees serving more than 140 countries and markets.
We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets and ideas — the dynamic formula that drives business performance.
Together, we unlock potential.

About the team:

The Direct and Facultative Data and Analytics team offer a wide range of analytical support to the broking team in order to secure the best results for our clients. Typical analytical support includes data management, catastrophe modelling, exposure management, financial modelling, data science and bespoke analytics, including the development of analytical tools and applications. The team also supports the analysis and pricing of casualty risks, including a range of liability exposures. The focus of our team is to provide brokers with a deeper understanding of their clients' risks across a range of natural and man-made perils, as well as casualty and liability exposures, using data, modelling and advanced analytical techniques to support informed decision-making.

Job Summary:

In this role, the individual will work closely with Brokers in the Global Markets Direct and Facultative team to deliver market leading analytics. On a day-to-day basis, the individual will be involved in processing and auditing client data, running client portfolios against state-of-the-art catastrophe models, and synthesising the results. They will be required to take a methodical approach to problem solving and be proactive in meaningfully contributing to the success of Direct and Facultative team. 

Principal Duties:

• Managing, auditing, processing and analysing portfolio data, preparing it for model ingestion.

• Quantify the catastrophe risk using vendor catastrophe models.

• Operation of geo-visualisation tools.

• Understand and evaluate the impact of updates and revisions to models and the outputs produced.

• Communicate results effectively to all stakeholders (i.e. catastrophe modellers / brokers / clients/ (re)insurers).

• Work closely with all stakeholders throughout the risk quantification process.

• Real-time reporting and analysis of natural catastrophes.

Skills & Attributes

• Proven track record of exceeding performance expectations

• Highly proactive, with a passion to deliver industry-leading results

• A natural team-player, committed to close collaboration with colleagues

• An understanding of London/global insurance markets and (re)insurance business

• Experience in at least one vendor model RMS / AIR

• Understanding of the underlying perils science and model components

• Strong problem-solving skills and keen attention to detail

• Excellent Information technology skills, Power BI an advantage 

• Experience with process optimisation

• Experience and working knowledge of GIS (Geographic Information System software e.g. ArcGIS, an advantage

• Excellent communication skills

• Ability to process and understand data quickly and creatively

• Highly motivated to learn and grow within a global market leader

Postgraduate degree in Mathematics and Statistical Science

Knowledge:

• 2+ years of experience working in catastrophe risk modelling

The Application Process

• Stage 1: Online application and recruiter review
• Stage 2: Pre-recorded video interview
• Stage 3: Live video or in person interview with hiring manager and team
• Stage 4: 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 email [email protected].

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