At a Glance
- Tasks: Evaluate natural catastrophe models and conduct innovative research on hurricanes and earthquakes.
- Company: Join Willis, a leading firm in risk management and research.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by helping clients manage natural disaster risks with cutting-edge research.
- Qualifications: Research experience in meteorology or seismology, strong analytical skills, and programming knowledge.
- Other info: Inclusive culture that values diversity and encourages collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
An exciting opportunity to join an established research network team at Willis (a WTW business), helping clients understand and manage risk while shaping the Willis “view of risk.” Using your scientific knowledge of natural catastrophes, you will evaluate models, develop adjustments, and conduct innovative modelling research.
The Role
Two roles are available in the Model Research team, one with a tropical cyclone / atmospheric perils specialism and one with an earthquake specialism. These roles will be responsible for the evaluation of third-party natural catastrophe models, as well as the development of the Willis View of Risk. Your experience and knowledge of natural hazards will be instrumental in assisting our clients in understanding and managing natural catastrophe risk. You will also undertake wider research on a range of topics, including non-modelled risks, scenario analysis, and climate change. The seniority of the role will match the experience of the candidate, so candidates of all experience levels are encouraged to apply.
Key responsibilities:
- Evaluating third-party natural catastrophe models for a range of perils (e.g. tropical cyclones, windstorms, wildfires, floods, earthquakes).
- Identifying where current models are insufficient or limited, and helping Willis and its clients address these gaps through innovative solutions.
- Developing the Willis View of Risk, including adjustments for model limitations, near-term climate conditions, and claims experience.
- Working with clients, jointly with other Willis commercial teams, on advisory projects, especially when these require leading-edge research to be applied, or expert judgement.
- Creating and giving presentations to clients, for example on model evaluation findings or the impacts of climate change on natural catastrophes.
- Contributing to thought leadership on modelling topics (blogs, webinars, conferences, client events), and your continued links to academia (if any) will be encouraged.
- Conducting exploratory data analysis and developing clear, insightful visualisations to better understand model outputs, identify trends, and communicate findings effectively to technical and non-technical audiences.
- Staying abreast of the latest scientific research, identifying emerging issues and trends, summarising findings and potential materiality to current/future business strategy.
- Exploring and evaluating new modelling techniques (e.g. artificial intelligence, machine learning, neural networks, natural language processing).
The Requirements
- Research experience (PhD, MSc, or equivalent professional background) in meteorology, tropical cyclones, or seismology/earthquakes is of particular interest. Experience in related fields such as hydrology, vulnerability assessment, statistics, or actuarial science will also be considered.
- Strong analytical and quantitative skills, including experience of using a programming language such as R, Python and/or SQL.
- Excellent presentation and writing skills with an ability to communicate technical information to wide range of expert and non-expert audiences.
- An interest in applying scientific research to address industry problems.
- Highly motivated, collaborative, well-organised and enthusiastic team player with a proactive approach.
Desirable:
- Working knowledge of catastrophe modelling systems (e.g., Moody’s RMS, Verisk).
- Previous experience of model evaluation.
- Spatial analysis, GIS and data visualisation skills.
- Knowledge of (or an interest in) insurance industry practices and regulation (e.g. Solvency II).
You will work closely with:
- The Head of Model Research and other members of the team.
- Willis Research Network (WRN) research managers to benefit from the existing WRN research portfolio, and shape future research (e.g. weather and climate, earth risks).
- Key Willis stakeholders (e.g., Insurance Consulting & Technology, Climate and Resilience Hub) to create a relevant service offering that supports their client work.
- External clients, including the newly created Willis Re.
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.
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 your recruiter
Natural Catastrophe Analyst- Hurricane or Earthquake Specialist employer: WTW
Contact Detail:
WTW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Natural Catastrophe Analyst- Hurricane or Earthquake Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the natural catastrophe field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your research, modelling work, or any relevant projects. When you get the chance to meet potential employers, having something tangible to share can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions in the natural catastrophe space. The more comfortable you are, the better you'll communicate your passion and expertise.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Natural Catastrophe Analyst- Hurricane or Earthquake Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Natural Catastrophe Analyst role. Highlight your relevant experience in meteorology or seismology, and don’t forget to mention any specific skills like programming in R or Python that match the job description.
Showcase Your Research Skills: Since this role involves a lot of research, be sure to include examples of your past research projects. Whether it’s evaluating models or conducting innovative modelling research, we want to see how you’ve applied your scientific knowledge in real-world scenarios.
Communicate Clearly: Your writing skills are crucial for this position, so make sure your application is clear and concise. Use straightforward language to explain complex concepts, as you’ll need to communicate technical information to both expert and non-expert audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at WTW
✨Know Your Models
Make sure you’re well-versed in the natural catastrophe models relevant to the role. Brush up on the latest research and be ready to discuss how you would evaluate third-party models, especially for tropical cyclones or earthquakes.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess. Bring examples of your experience with programming languages like R or Python, and be ready to discuss how you've used data analysis to inform decision-making in past roles.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Think about how you can make your insights accessible and engaging for clients.
✨Stay Current
Keep up with the latest trends in climate change and natural hazards. Be prepared to discuss recent developments in the field and how they might impact modelling practices or client strategies.