Research Associate (Meteorological / Climate data / Client facing)

  • London, UK
  • Full-time

Company Description

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

Job Description

AIR Worldwide Ltd is looking for a highly passionate, motivated individual to join the Research and Modelling in London as a Research Associate.  As a member of AIR’s Research team, you will promote research efforts of our international team through the interpretation and continuing improvements of our models and products. You will use your scientific, technical and analytical skills to work with clients, research organisations and universities to enhance their awareness, understanding and information exchange with AIR. You will foster relationships with the Research teams in Boston and work closely with Consulting and Client Services and Business Development departments in London.  

About the Day to Day Responsibilities of the Role:

  • Thorough understanding, interpretation and explanation of AIR’s models to clients, prospects and academia.
  • Helping clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results and after model updates.
  • Contribute to internal evaluation of AIR models and support clients in model evaluations and regulatory requirements for a major model change.  
  • Creating and giving presentations to clients and research organisations, for example on existing models and model change, as well as writing technical documentation 
  • Working on innovative projects requiring own research. The development of tools and models to solve problems on bespoke basis directly for clients and as part of AIR’s wider model development.
  • Representing AIR at industry and academic conferences, presenting AIR models and original research in oral and poster sessions 
  • Following latest industry trends, research in your area of expertise and the potential for participation in post-disaster field surveys.
  • Collecting, interpreting and analysing scientific and engineering information. 
     

Qualifications

  • Very strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to a client facing role.
  • Knowledge of Touchstone and Touchstone Re is desirable but not essential.
  • Knowledge of insurance and reinsurance and the Lloyds market is preferred.
  • Excellent communication, interpersonal, time management and organisational skills are also required.
  • The ability to motivate and inspire research-based discussions amongst colleagues is desirable. 
  • Experience using Microsoft Office is essential. 
  • Ability to code in languages such as SQL, R, Python will be beneficial. Knowledge of ArcGIS would be desirable.
  • Proficiency in oral and written communication is highly desirable, particularly the ability to communicate complex ideas simply and effectively.
  • Prior experience in the visualisation and communication of risk e.g. via animations, video, infographics or other means would be desirable (but not essential).
  • An interest in working with big data and machine learning algorithms is welcomed. 

You will have a PhD or MSc in one of the following preferred disciplines: Meteorology, Atmospheric Physics, Earth Science, Climate Science. Where educated to an MSc level the entry role is that of a Research Analyst and for those educated to a PhD level or a MSc level with two to four years of relevant research experience, a Research Associate. 
 

Additional Information

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 

Consumer Privacy Notice

#LI-MI1

Privacy Policy