About the team:
The Direct & 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, and bespoke analytics. The focus of our team is to provide brokers with a deeper understanding of their client's risk from natural and man-made perils such as windstorm, earthquake, severe convective storm, flood and wildfire.
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 D&F. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical details to a non-technical audience.
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 including Arc GIS
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 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
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
Postgraduate
Knowledge:
Experience with SQL, 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
Highly motivated to learn and grow within a global market leader
The Application Process
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 candidatehelpdesk@wtwco.com
At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help you sharpen your strategy, enhance organizational resilience, motivate your workforce and maximize performance.
